DURSUN DELEN

Department of Management Science & Information Systems
Regents Professor
Patterson Foundation Chair

700 N. GREENWOOD AVE.
TULSA, OK 74106
Phone: 918-594-8283

dursun.delen@okstate.edu

Biography

Dr. Dursun Delen is the holder of William S. Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). He received his Ph.D. in Industrial Engineering and Management from OSU in 1997.
Prior to his appointment as an Assistant Professor in 2001, he worked for a privately-owned research and consultancy company, Knowledge Based Systems Inc., in College Station, Texas, as a research scientist for five years, during which he led several decision support, information systems and advanced analytics research projects funded by corporations, organizations, and federal agencies including DoD, NASA, NIST and DoE.
Dr. Delen has published more than 100 peer-reviewed journal articles. His research has appeared in major journals including Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, International Journal of Medical Informatics, Journal of the American Medical Informatics Association, among others. He recently authored/co-authored ten books/textbooks in the broad areas of Business Analytics, Decision Support Systems, Data/Text Mining, and Business Intelligence.
Dr. Delen is often invited to national and international conferences for keynote addresses, and companies and organizations for executive teaching and consultancy engagements on topics related to Business Analytics / Data Science, Data/Text Mining, Business Intelligence, Decision Support Systems, and Knowledge Management. He served as the general co-chair for the 4th International Conference on Network Computing and Advanced Information Management in Soul, South Korea, and regularly chairs tracks and mini-tracks at various business analytics and information systems conferences.
Dr. Delen is the editor-in-chief for the Journal of Business Analytics and AI in Business, senior editor for Decision Support Systems and Decision Sciences, area editor for Big Data and Business Analytics for Journal of Business Research, associate editor for Decision Analytics and International Journal of RF Technologies, and is on the editorial boards of several other academic journals. He has received Fulbright Scholar, NIH Data Science Mentor Awards, along with several other prestigious research and teaching recognitions including President's Outstanding Faculty Research Award, Regents' Distinguished Teaching Award, Regents' Distinguished Research Award, and Greiner Teaching Award.

Education

• Ph D, Oklahoma State University, Industrial Engineering and Management, 1996
• MS, Yildiz University, Istanbul, Turkey, Industrial Engineering, 1988
• BS, Istanbul Technical University, Turkey, Industrial Engineering, 1986

Publications

• Mohammed Talal, Michael Loong Peng Tan, Dragan Pamucar, Dursun Delen, Witold Pedrycz, and Vladimir Simic. "Evaluation and benchmarking of research-based microgrid systems using FWZIC-VIKOR approach for sustainable energy management". Applied Soft Computing (Forthcoming). (166), 112132,
• Ozlem Cosgun, Amjad Umar, and Dursun Delen. "Operational assessment of nursing homes at times of pandemic: an integrated DEA and machine learning approach". Operational Research (Forthcoming).
• Mohammed Talal, Dragan Pamucar, Witold Pedrycz, , and Dursun Delen. "A Comprehensive Systematic Review on Machine Learning Application in the 5G-RAN Architecture: Issues, Challenges, and Future Directions". Journal of Network and Computer Applications (Forthcoming). (October 2024), 104041,
• Dursun Delen. "Teaching Data Science Is Difficult! How To Make Data Science Learning Fun and Rewarding". OR/MS Today by INFORMS. (51), 3, 12-13.
• Mostafa Amini, Ali Bagheri, Martin Paulus, and Dursun Delen. (2024). "Multimorbidity in neurodegenerative diseases: a network analysis". Informatics for Health and Social Care.
• Muhammet Deveci, Dursun Delen, and Weiping Ding. (2024). "AI-based decision support systems for sustainable business management under circular economy". Annals of Operations Research . 342, 1-3.
• Yu Chen, Weizhong Wang, Zhengyan Yang, Muhammet Deveci, and Dursun Delen. "Evaluating Risk of IoT Adoption in the Food Supply Chain Using an Integrated Interval-Valued Spherical Fuzzy Generalized TODIM Method". International Journal of Production Economics (Forthcoming). (277), 109386,
• Bilal Bahaa Zaidan, Hassan Abdulsattar Ibrahim, Nahia Mourad, Muhammet Deveci, and Dursun Delen. "An In-depth Analysis of Ensemble Multi-Criteria Decision Making: A Comprehensive Guide to Terminology, Design, Applications, Evaluations, and Future Prospects". Applied Soft Computing (Forthcoming). (167), 112267,
• Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, and Dursun Delen. (2024). "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda". European Journal of Operational Research.
• Burak Cankaya, Bulent Erenay, Eyyub Kibis, Aaron Glassman, and Dursun Delen. "Charting the future of pilots: Maximizing airline workforce efficiency through advanced analytics". Operational Research (Forthcoming).
• Ying-Chih Sun, Ozlem Cosgun, Raj Sharman, Mulgund Pavankumar, and Dursun Delen. "A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide". Decision Analytics Journal (Forthcoming).
• Abdulaziz Ahmed, Salih Tutun, Khalid Aram, and Dursun Delen. "A Study of “Left Against Medical Advice” Emergency Department Patients: An Optimized Explainable Artificial Intelligence Framework". Health Care Management Science (Forthcoming).
• Ali Dag, Abdullah Asilkalkan, Osman T Aydas, Musa Cagla, Serhat Simsek, and Dursun Delen. "A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations". Information Systems Frontiers (Forthcoming).
• Qinhui Wang, Corey Baham, and Dursun Delen. "The Impact of AI-Generated Misinformation Features on Human Believability: A Qualitative Approach". Americas Conference on Information Systems (AMCIS) 2024 (Forthcoming). (Association for Information Systems (AIS)),
• Yajun Lu, Thanh Duong, Zhuqi Miao, Thanh Thieu, Jivan Lamichhane, Abdulaziz Ahmed, and Dursun Delen. "A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring". Journal of the American Medical Informatics Association (JAMIA) (Forthcoming).
• Ismail Abdulrashid, Basiru Usman, Mark Uzochukwu, and Dursun Delen. "A Multi-Objective Optimization Framework for Determining Optimal Chemotherapy Dosing and Treatment Duration ". Healthcare Analytics (Forthcoming).
• Meysam Rabiee, Mike Pangburn, Saeed Piri, and Dursun Delen. "Towards Explainable Artificial Intelligence through Expert-Augmented Supervised Feature Selection". Decision Support Systems (Forthcoming).
• Michel Fathi, Panos M Pardalos, Dursun Delen, Stefan Gold, and Marzieh Khakifirooz. "An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets". Annals of Operations Research (Forthcoming). https://doi.org/10.1007/s10479-024-05919-4.
• Dursun Delen, Iman Mohamad Sharaf, Abdullah Alamoodi, Muhammet Deveci, and Witold Pedrycz. (2024). "Architecture Selection for 5G-Radio Access Network Using Type-2 Neutrosophic Numbers Based Decision Making Model". Expert Systems With Applications. (237), Part A, 121420.
• Dursun Delen, Yushuo Cao, Xiao Han, Xuzhong Wu, Muhammet Deveci, and Seifedine Kadry. "Evaluation of food waste treatment techniques using the complex q-rung orthopair fuzzy generalized TODIM method with weighted power geometric operator". Journal of Environmental Management (Forthcoming).
• Rajan Kumar Gangadhari, Pradeep Kumar Tarei, Pushpendu Chand, Meysam Rabiee, and Dursun Delen. "Navigating the New Normal: Redefining N95 Respirator Design with an Integrated Text Mining and Quality Function Deployment-Based Optimization Model". Computers & Industrial Engineering (Forthcoming).
• Dennis Herhausen, Stefan F. Bernritter, Stefan F. Bernritter, Eric W.T. Ngai, Ajay Kumar, and Dursun Delen. (2024). "Editorial for the Special Issue “Machine Learning in Marketing”". Journal of Business Research. (170), 114254.
• Muhammet Deveci, Arunodaya R Mishra, Pratibha Rani, Ilgin Gokasar, Mehtap Isık, Dursun Delen, Keng-Boon Ooi, and Tugrul Daim. (2024). "Evaluation of Intelligent Transportation System Implementation Alternatives in Metaverse Using a Fermatean Fuzzy Distance Measure-based OCRA Model". Information Sciences. (657), 120008.
• Baidyanath Biswas, Arunabha Mukhopadhyay, Ajay Kumar, and Dursun Delen. (2024). "A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks". Decision Support Systems. (177), 114102.
• Aws Alaa Zaidan, Muhammet Deveci, and Dursun Delen. " Dursun Delen Neutrosophic Bipolar Fuzzy Decision-based Approach for Developing Sustainable Circular Business Model Innovation Tools". Computers & Industrial Engineering (Forthcoming).
• Mostafa Amini, Ali Bagheri, Saeed Piri, and Dursun Delen. (2024). "A Hybrid AI Framework to Address the Issue of Frequent Missing Values with Application in EHR Systems: the Case of Parkinson’s Disease". HICSS-2024 Conference Proceedings.
• Dennis Herhausen, Stefan F. Bernritter, Eric W.T. Ngai, Ajay Kumar, and Dursun Delen. (2024). "Machine learning in marketing: Recent progress and future research directions". Journal of Business Research. (170), 114254.
• Asli Dag, Marina Johnson, Eyyub Kibis, Serhat Simsek, Burak Cankaya, and Dursun Delen. (2023). "A Machine Learning Decision Support System for Determining the Primary Factors Impacting Cancer Survival and Their Temporal Effect ". Healthcare Analytics. (4), 100263.
• Abdullah Asilkalkan, Asli Z Dag, Serhat Simsek, Osman T Aydas, Eyyub Y Kibis, and Dursun Delen. (2023). "Streamlining patients’ opioid prescription dosage: an explanatory bayesian model". Annals of Operations Research.
• Yajun Lu, Thanh Duong, Thanh Thieu, Zhuqi Miao, and Dursun Delen. (2023). "Balancing the Scale and the Accuracy of a Risk Index: An Enhanced Automatic Risk Score Generator for Health Condition Prediction". Decision Sciences Institute (DSI) Conference Proceedings.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2023). "Business Intelligence, Analytics, Data Science, and AI". New York, NY: Pearson Publishing. 9780137931286.
• Umit Hacioglu, Hasan Dincer, Mustafa K Yilmaz, Serhat Yuksel, Mariama Sonko, and Dursun Delen. (2023). "Optimizing Sustainable Industry Investment Selection: A Golden Cut-Enhanced Quantum Spherical Fuzzy Decision-Making Approach". Applied Soft Computing. (148), 110853.
• Sadik Kucuksari, Dragan Pamucar, Muhammet Deveci, Nuh Erdogan, and Dursun Delen. (2023). "A New Rough Ordinal Priority-based Decision Support System for Purchasing Electric Vehicles". Information Sciences. (647), 119443.
• S. Jeevaraj, Ilgin Gokasar, Muhammet Deveci, and Dursun Delen. (2023). "Adoption of energy consumption in urban mobility considering digital carbon footprint: A two-phase interval-valued Fermatean fuzzy dominance methodology". Engineering Applications of Artificial Intelligence. (126), 106836.
• Ali Bagheri, Saleh Taghvaeian, and Dursun Delen. (2023). "A Text Analytics Model for Agricultural Knowledge Discovery and Sustainable Food Production: A Case Study from Oklahoma Panhandle". Decision Analytics Journal. (9), 100350.
• Burak Cankaya, Kazim Topuz, Dursun Delen, and Aaron Glassman. (2023). "Evidence-Based Managerial Decision-Making with Machine Learning: The Case of Bayesian Inference in Aviation Incidents". Omega. (120), 102906.
• Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, and Dursun Delen. (2023). "An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations". Information Systems Frontiers.
• Dursun Delen. "Business Analytics and Data Science Processes, Personas and Learning Paths". OR/MS Today by INFORMS. (50), 3 (October 2023),
• Muhammet Deveci, Ilgin Gokasar, Ahmet Karakurt, Yusuf Kuvvetli, Dursun Delen, and Dragan Pamucar. (2023). "Sustainable Regional Rail System Pricing Using Machine Learning based Optimization Approach". Annals of Operations Research.
• Riley Marlar, Niloufar Eghbali Zarch, Zheng Han, Dursun Delen, William Paiva, Matt Vassar, and Mohammad Mahdi Ghassemi. (2023). "The Impact of Scientific Publications on Clinical Care: A Case Study". IEEE International Conference on Biomedical and Health Informatics (BHI'23).
• Aws Alaa, Muhammet Deveci, and Dursun Delen. (2023). "Developing Sustainable Management Strategies in Construction and Demolition Wastes Using a q-Rung Orthopair Probabilistic Hesitant Fuzzy Set-based Decision Modelling Approach". Applied Soft Computing. (145), 110606.
• Hasan Dincer, Serhat Yuksel, Unit Hacioglu, Mustafa Kemal Yilmaz, and Dursun Delen. (2023). "Development of a sustainable corporate social responsibility index for performance evaluation of the energy industry: A hybrid decision-making methodology". Resources Policy. (85), Part A, 103940.
• Linda Li, Mohammad Firouz, Abdulaziz Ahmed, and Dursun Delen. (2023). "On the Egalitarian-Utilitarian spectrum in stochastic capacitated resource allocation problems". International Journal of Production Economics. (262), 108900.
• Sarah Qahtan, Hassan A. Alsattar, A. A. Zaidan, Muhammet Deveci, Dragan Pamucar, and Dursun Delen. (2023). "Performance Assessment of Sustainable Transportation in the Shipping Industry Using a q-Rung Orthopair Fuzzy Rough Sets-Based Decisioning Methodology". Expert Systems With Applications. (223), 119958.
• Dragan Pamucar, Muhammet Deveci, Ilgin Gokasar, Dursun Delen, Mario Köppen, and Witold Pedrycz. (2023). "Evaluation of metaverse integration alternatives of sharing economy in transportation using fuzzy Schweizer-Sklar based ordinal priority approach". Decision Support Systems. (171), 113944.
• Dursun Delen, Erkan Bayraktar, Ekrem Tatoglu, and Arafat Salih Aydiner. (2023). "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis". Information Systems Frontiers.
• Babak Aslani, Meysam Rabiee, Mona Jabbari, and Dursun Delen. (2023). "An optimization framework for the sustainable healthcare facility location problem using a hierarchical conflict resolution approach". Annals of Operations Research.
• Muhammet Deveci and Dursun Delen. (2023). "Bitcoin Network-based Anonymity and Privacy Model for Metaverse Implementation in Industry 5.0 Using Linear Diophantine Fuzzy Sets". Annals of Operations Research. 1-41.
• Ismail Abdulrashid, Hamdi Friji, Kazim Topuz, and Dursun Delen. (2023). "An Analytical Approach to Evaluate the Impact of Age Demographics in a Pandemic". Stochastic Environmental Research and Risk Assessment. (37), 3691–3705.
• Kazim Topuz, Behrooz Davazdahemami, and Dursun Delen. (2023). "A Bayesian Belief Network-based Analytics Methodology for Early-Stage Risk Detection of Novel Diseases". Annals of Operations Research.
• Surya Ayyalasomayajula, Ankita Srivastava, and Dursun Delen. (2023). "Analyzing The Sweet Talk: Social Media Analytics to Fill the Gaps in Diabetes Education". Washington. DC: The Conference on Health IT and Analytics (CHITA), Washington, DC.
• Sarah Qahtan, Hassan A. Alsattar, Aws Alaa Zaidan, Muhammet Deveci, Dragan Pamucar, Dursun Delen, and Witold Pedrycz. (2023). "Valuation of Agriculture-Food 4.0 Supply Chain Approaches Using Fermatean Probabilistic Hesitant-Fuzzy Sets Based Decision Making Model". Applied Soft Computing. (138), 110170.
• Ismail Gölgeci, David M. Gligor, Erkan Bayraktar, and Dursun Delen. (2023). "Reimagining global value chains in the face of extreme events and contexts: Recent insights and future research opportunities". Journal of Business Research. (160), 113721.
• Dursun Delen, Behrooz Davazdahemami, and Elham Rasouli Dezfouli. (2023). "Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework". Information Systems Frontiers.
• Gopal Nath, Austin Coursey, Joseph Ekong, Elham Rastegari, Saptarshi Sengupta, Asli Z. Dag, and Dursun Delen. (2023). "Determining the Temporal Factors of Survival Associated with Brain and Nervous System Cancer Patients: A Hybrid Machine Learning Methodology". International Journal of Healthcare Management.
• Sinem Buyuksaatci Kiris, Enes Eryarsoy, Selim Zaim, and Dursun Delen. (2023). "An Integrated Approach for Lean Production Using Simulation and Data Envelopment Analysis". Annals of Operations Research. (320), 2, 863-886.
• Wael Zayat, Huseyin Selcuk Kilic, Ahmet Selcuk Yalcin, Selim Zaim, and Dursun Delen. (2023). "Application of MADM Methods In Industry 4.0: A Literature Review". Computers & Industrial Engineering. (177), 109075.
• Nezir Aydin, Sukran Seker, Muhammet Deveci, Weiping Ding, and Dursun Delen. (2023). "A linear programming-based QFD methodology under fuzzy environment to develop sustainable policies in apparel retailing industry". Journal of Cleaner Production. (387), 135887.
• Qun Wu, Xinwang Liu, Xiaoqing Chen, Muhammet Deveci, and Dursun Delen. (2023). "Measuring Efficiency of the High-Tech Industry Using Uncertain Multi-Stage Nonparametric Technologies". Expert Systems With Applications. (216), 1, 119490.
• Behrooz Davazdahemami, Pankush Kalgotra, Hamed Majidi Zolbanin, and Dursun Delen. (2023). "A Developer-Oriented Recommender Model for the App Store: A Predictive Network Analytics Approach". Journal of Business Research. (158), 1, 113649.
• Ali Dag, Asli Z Dag, Abdullah Asilkalkan, Serhat Simsek, and Dursun Delen. (2023). "A Tree Augmented Naïve Bayes-based Methodology for Classifying Cryptocurrency Trends". Journal of Business Research. (156), 1, 113522.
• Zhuqi Miao, Meghan D. Sealey, Shrieraam Sathyanarayanan, Dursun Delen, Lan Zhu, and Scott Shepherd. (2023). "A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis". Information Systems. (111), 1, 102130..
• Ankita Srivastava and Dursun Delen. (2022). "Simulation-Based Electronic Health Record Usability Evaluation: A Proof of Concept". Proceedings of the International Confernce in Information Systems (ICIS), by Associatio of Information Systems (AIS).
• Ayse Ozgun, Mehves Tarim, Dursun Delen, and Selim Zaim. (2022). "Social capital and organizational performance: The mediating role of innovation activities and intellectual capital". Healthcare Analytics. (2), 2, 100046.
• Rupesh K. Agrawal, Rahim Sewani, Dursun Delen, and Bruce Benjamin. (2022). "A Machine Learning Approach for Classifying Healthy and Infarcted Patients Using Heart Rate Variabilities Derived Vector Magnitude ". Healthcare Analytics. (2), 3, 100121.
• Asli Dag, Zumrut Akcam, Eyyub Kibis, Serhat Simsek, and Dursun Delen. (2022). "A Probabilistic Data Analytics Methodology Based on Bayesian Belief Network for Predicting and Understanding Breast Cancer Survival". Knowledge-Based Systems. (242), 1, 108407.
• Elham Rasouli Dezfouli, Dursun Delen, Huimin Zhao, and Behrooz Davazdahemami. (2022). "A Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement". Journal of Healthcare Informatics Research. (9), 423-441.
• Sudip Bhattacharjee, Dursun Delen, Maryam Ghasemaghaei, Ajay Kumar, and Eric W.T. Ngai. "Business and government applications of text mining & Natural Language Processing (NLP) for societal benefit: Introduction to the special issue on “text mining & NLP”". Decision Support Systems.
• Behrooz Davazdahemami, Hamed Majidi Zolbanin, and Dursun Delen. (2022). "An Explanatory Machine Learning Framework for Studying Pandemics: The Case of COVID-19 Emergency Department Readmissions". Decision Support Systems. (161), 1, 113730.
• Ankita Srivastava, Surya Ayyalasomayajula, Chenzhang Bao, Sezgin Ayabakan, and Dursun Delen. (2022). "Relationship Between Electronic Health Records Strategy and User Satisfaction: A Longitudinal Study Using Clinicians’ Online Reviews". Journal of the American Medical Informatics Association (JAMIA). (29), 9, 1577-1583..
• Berha Tektas, Hasan Turan, Nihat Kasap, Ferhab Cebi, and Dursun Delen. (2022). "A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning". Energies. (15), 9, 3176-3189.
• Hamidreza Ahady Dolatsara, Musa Caglar, Ali Dag, Serhat Simsek, and Dursun Delen. (2022). "An Interpretable Decision-Support Systems for Daily Cryptocurrency Trading". Expert Systems With Applications. (203), 1, 117409.
• Prajwal Eachempati, Praveen Ranjan Srivastava, Ajay Kumar, Javier Muñoz de Prat, and Dursun Delen. (2022). "Can customer sentiment impact firm value? An integrated text mining approach". Technological Forecasting and Social Change. (174), 1, 121265.
• Mostafa Amini, Ali Bagheri, and Dursun Delen. (2022). "Discovering Injury Severity Risk Factors in Automobile Crashes: A Hybrid Explainable AI Framework for Decision Support". Reliability Engineering & System Safety. (226), 1, 108720.
• Muhammet Deveci, Dragan Pamucar, Ilgin Gokasar, Dursun Delen, and Luis Martínez. (2022). "A fuzzy Einstein-based decision support system for public transportation management at times of pandemic". Knowledge-Based Systems. (252), 2, 109414.
• Enes Eryarsoy, Hakki Nalcioglu, Huseyin Kilic, Ahmet Yalcin, Selim Zaim, and Dursun Delen. (2022). "A Framework for Mitigating Excessive Transportation in the Context of Manufacturing Localization". IEEE Transactions on Fuzzy Systems. (31), 2, 619-630.
• Mahdi Hajiali, Ebrahim Teimoury, Meysam Rabiee, and Dursun Delen. (2022). "An Interactive Decision Support System for Real-Time Ambulance Relocation with Priority Guidelines Decision Support Systems". Decision Support Systems. (155), 1, 113712.
• Ineen Sultana, Dursun Delen, Madhav Erraguntla, Mark A Lawley, and Hye Chung Kum. (2022). "The Interrelationships between the length of stay, readmission, and post-acute care referral in cardiac surgery patients  ". Healthcare Analytics. (2), 2, 100062.
• Behrooz Davazdahemami, Hamed Majidi Zolbanin, and Dursun Delen. (2022). "An Explanatory Analytics for Early Detection of Chronic Risk Factors in Pandemics". Healthcare Analytics. (2), 2, 100020.
• Mostafa Amini, Ali Bagheri, and Dursun Delen. (2022). "An Explanatory Analytics Model for Identifying Factors Indicative of Long- Versus Short-Term Survival After Lung Transplantation  ". Decision Analytics Journal. (3), 1, 100058.
• Muhammet Deveci, Dragan Pamucar, Ilgin Gokasar, Dursun Delen, Qun Wu, and Vladimir Simic. (2022). "An Analytics Approach to Decision Alternative Prioritization for Zero-Emission Zone Logistics". Journal of Business Research. (146), 1, 554-570.
• Dursun Delen, Baidyanath Biswas, Ajay Kumar, and Shivam Gupta. (2022). "A Critical Assessment of Consumer Reviews: A Hybrid NLP-based Methodology". Decision Support Systems. (59), 2, 113799.
• Dursun Delen, Ahmet Selcuk Yalcin, and Huseyin Selcuk Kilic. (2022). "The Use of Multi-Criteria Decision-Making Methods in Business Analytics: A Comprehensive Literature Review". Technological Forecasting & Social Change. (174), 1, 121193.
• Ibrahim Yazici, Omer Faruk Beyca, and Dursun Delen. (2022). "Deep-Learning-based Short-Term Electricity Load Forecasting: A Real-world Application Case". Engineering Applications of Artificial Intelligence. (109), 1, 104645.
• Ankita Srivastava, Corey W. Baham, Dursun Delen, and Jim Hess. (2022). "Technostress Among Physicians: Conceptualizing Stressful EHR Design Features". Washington, DC: The Conference on Health IT and Analytics (CHITA), Washington, DC.
• Bunyamin Ozaydin, Ferhat Zengul, Nurettin Oner, and Dursun Delen. (2022). "Approaches for Text Mining of mHealth Literature". mHealth. (8), 1, 23-32.
• Ibrahim Yazici, Omer Faruk Beyca, Omer Faruk Gurcan, Halil Zaim, Dursun Delen, and Selim Zaim. (2022). "A Comparative Analysis of Machine Learning Techniques and Fuzzy Analytic Hierarchy Process to Determine the Tacit Knowledge Criteria". Annals of Operations Research. 1-24.
• Baidyanath Biswas, Arunabha Mukhopadhyay, Sudip Bhattacharjee, Ajay Kumar, and Dursun Delen. (2022). "A Text-Mining Based Cyber-Risk Assessment and Mitigation Framework for Critical Analysis of Online Hacker Forums Decision Support Systems". Decison Support Systems. (152), 1, 113651.
• Behrooz Davazdahemami, Paul Peng, and Dursun Delen. (2022). "A Deep Learning Approach for Predicting Early Bounce-Backs to the Emergency Departments". Healthcare Analytics. (2), 1, 100018.
• Hamed M Zolbanin, Behrooz Davazdahemami, Dursun Delen, and Amir Hassan Zadeh. (2022). "Data Analytics for the Sustainable Use of Resources in Hospitals: Predicting the Length of Stay for Patients with Chronic Diseases". Information and Management. (59), 5, 103282.
• Behrooz Davazdahemami, Hamed Majidi Zolbanin, and Dursun Delen. (2021). "Deep Learning with Minimal Coding Effort: A Tutorial on Theory and Implementation of Deep Artificial Neural Networks". Pre-ICIS SIGDSA Symposium, 2021.
• Ankita Srivastava, Chenzhang Bao, and Dursun Delen. (2021). "Assessing Ambulatory HIT Spillover Effects on Hospital Inpatient Costs". Austin, TX: Proceedings of the 42nd International Conference on Information Systems.
• Rupesh K. Agrawal, Robert Fritts, and Dursun Delen. (2021). "Assessing injury severity in passenger vehicle crashes: a case of data balancing, automatic feature selection & machine learning". Decision Sciences Institute, 52nd Annual Conference.
• Dursun Delen. (2021). "KNIME ANALYTICS PLATFORM - Open-source business analytics and data science tool provides comprehensive capabilities in the classroom". INFORMS OR/MS Today. (48), 5 (October), 22-23.
• Yajun Lu, Suhao Chen, Zhuqi Miao, Dursun Delen, and Andrew Gin. (2021). "Clustering Temporal Disease Networks to Assist Clinical Decision Support Systems in Visual Analytics of Comorbidity Progression". Decision Support Systems. (148), 1, 113583.
• Dursun Delen, Hamed M Zolbanin, Durand H. Crosby, and David Wright. (2021). "To Imprison or not to Imprison: An Analytics Model for Drug Courts". Annals of Operations Research. (303), 101-124.
• Ferhat D. Zengul and Dursun Delen. (2021). "A Critical Analysis of COVID-19 Research Literature: Text Mining Approach". Intelligence-Based Medicine. (5), 1, 100036.
• Marcio S.M. Lima, Enes Eryarsoy, and Dursun Delen. (2021). "Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach". INFORMS Journal on Applied Analytics. (51), 3, 213-235.
• Dursun Delen. (2021). "Better Practices for Teaching Business Analytics". OR/MS Today, INFORMS Members' Magazine. (August 2021), Issue on Innovative Education, 38-43.
• Nagesh Ramesh and Dursun Delen. (2021). "How to beat the 90% failure rate in Digital Transformations". IEEE Engineering Management Review. (49), 3, 22-25.
• Umit Hacioglu, Dounia Chlyeh, Mustafa K Yilmaz, Ekrem Tatoglu, and Dursun Delen. (2021). "Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach". Decision Support Systems. (142), 113473.
• Kazim Topuz and Dursun Delen. (2021). "A Probabilistic Bayesian Inference Model to Investigate Injury Severity in Automobile Crashes". Decision Support Systems. (150), 1, 113557.
• Ru Wang, Zhuqi Miao, Tieming Liu, Mei Liu, Kristin Grdinovac, Xing Song, Ye Liang, Dursun Delen, and William Paiva. (2021). "Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records". Journal of Clinical Medicine. (10), 5, 1473-1485.
• Enes Eryarsoy, Dursun Delen, Behrooz Davazdahemami, and Kazim Topuz. (2021). "A Novel Diffusion-Based Model for Estimating Cases, and Fatalities in Epidemics: The Case of COVID-19 Journal of Business Research". Journal of Business Research. (124), 1, 163-178.
• Dursun Delen, Stefan Helfrich, and Rosaria Silipo. (2020). "Teaching Analytics with Ease: Introducing the KNIME Analytics Platform as a Visual Analytics Software Environment". 2020 Pre-ICIS SIGDSA Symposium Proceedings (AIS-SIGDSA), December 12-13, 2020.. (1), 1, 1-10.
• Arafat S Aydiner, Mehmet F Acar, Selim Zaim, and Dursun Delen. (2020). "Investigating the Relationship Among Supply Chain Orientation, ERP Usage, and Knowledge Management". Vienna, Austria : Proceedings of the International Symposium for Production Research .
• Dursun Delen. (2020). "Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners". New York, NY: Pearson: FT Press Analytics. 978-0136738510.
• Dursun Delen, Oleksandr Dorokhov, Liudmyla Dorokhova, Hasan Dincer, and Serdar Yuksel. (2020). "Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach". Journal of Management Analytics. (7), 4, 532-563.
• Enes Eryarsoy, Dursun Delen, and Behrooz Davazdahemami. (2020). "Adjusting COVID-19 Reports for Countries Age Disparities: A Comparative Framework for Reporting Performances". Preprint Service for Health Sciences (medRxiv). 1-10. doi.org/10.1101/2020.08.31.20185223.
• Huseyin S Kilic, Ayse E Demirci, and Dursun Delen. (2020). "An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection". Decision Support Systems. (137), 1, 113360.
• Dursun Delen, Enes Eryarsoy, and Behrooz Davazdahemami. (2020). "No Place Like Home: A Cross-National Assessment of the Efficacy of Social Distancing during the COVID-19 Pandemic". JMIR Public Health and Surveillance. (6), 2, e19862.
• Enes Eryarsoy and Dursun Delen. (2020). "Cross-Country Age Disparities in COVID-19 Cases with Hospitalization, ICU Usage, and Morbidity". arXiv preprint arXiv:2004.06532.
• Husam Abu Khadra and Dursun Delen. (2020). "Nonprofit Organization Fraud Reporting: Does Governance Matter?". International Journal of Accounting and Information Management. (28), 3, 409-428.
• Murtaza Nasir, Ali Dag, William Young, and Dursun Delen. (2020). "Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach". Decision Sciences Journal of Innovative Education. (18), 3, 374-408.
• Dursun Delen, Ferhat D Zengul, Timmy C Lee, Ammar Almehmi, Nataliya V Ivankova, Tapan S Mehta, and Kazim Topuz. (2020). "Research Themes and Trends in Ten Top-ranked Nephrology Journals: A Text Mining Analysis". American Journal of Nephrology. (51), 2, 147-159.
• Dursun Delen, Gregory Moscato, and Inga Linda Toma. (2020). "The impact of Business Analytics on the Behavior of Decision Makers". International Journal of Data Science and Analysis. (6), 1, 12-19.
• Dursun Delen, Behrooz Davazdahemami, Enes Eryarsoy, Leman Tomak, and Abhinav Valluru. (2020). "Using Predictive Analytics to Identify Drug-Resistant Epilepsy Patients". Health Informatics Journal. (26), 1, 449-460.
• Dursun Delen, Erkan Bayraktar, Kazim Sari, Ekrem Tatoglu, and Selim Zaim. (2020). "Assessing the Supply Chain Performance: A Causal Analysis". Annals of Operations Research. (287), 1, 37-60.
• Hamed M. Zolbanin, Dursun Delen, Durand Crosby, and David Wright. (2020). "A Predictive Analytics-Based Decision Support System for Drug Courts". Information Systems Frontiers. (22), 1, 1323-1342.
• Dursun Delen, Kazim Topuz, and Enes Eryarsoy. (2020). "Development of a Bayesian Belief Network-based Decision Support System for Predicting and Understanding Freshmen Student Attrition". European Journal of Operational Research. (281), 3, 575-587.
• Arafat Salih Aydiner, Mehmet Fatih Acar, Selim Zaim, and Dursun Delen. "Supply Chain Orientation, ERP Usage and Knowledge Management in Supply Chain". Lecture Notes in Mechanical Engineering (Forthcoming).
• Marcio S.M. Lima and Dursun Delen. (2020). "Predicting and Explaining Corruption Across Countries: A Machine Learning Approach". Government Information Quarterly. (37), 1, 396-407.
• Mariam Yasmin, Ekrem Tatoglu, Huseyin Kilic, Selim Zaim, and Dursun Delen. (2020). "Big Data Analytics Capabilities and Firm Performance: An Integrated MCDM Approach". Journal of Business Research. (114), 1-15.
• Yong-Mi Kim, Pranay Kathuria, and Dursun Delen. (2020). "Discovering Opioid Users’ Medical Comorbidities: A Data Mining Approach". Journal of Substance Use. (25), 1, 39-45.
• Dursun Delen. (2019). "Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making". Upper Saddle River, New Jersey : Pearson Financial Times Press. 978-0134387055.
• Rupesh Agrawal and Dursun Delen. (2019). "Clinical Intervention Research with EHR: A Big Data Analytics Approach". 25th Americas Conference on Information Systems (AMCIS 2019) (Forthcoming).
• Dursun Delen, Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, and Mark Lawley. (2019). "Post-Acute Care Referral in United States of America: A Multiregional Study of Factors Associated with Referral Destination in a Cohort of Patients with Coronary Artery Bypass Graft or Valve Replacement". BMC Medical Informatics and Decision Making. (19), 1, 223.
• Bhargav Konkayala, Dursun Delen, and Rupesh Agrawal. (2019). "Predicting and Explaining Inflammation in Crohn’s Disease Patients Using Predictive Analytics Methods and EMR Data". Health Informatics Journal. (25), 4, 1201-1218.
• Dursun Delen, Paul Peng, Behrooz Davazdahemami, J. Shapiro, and A. F. Manini. (2019). "Predicting Potential Bouncebacks to the Emergency Department: A Machine Learning Approach". Annals of Emergency Medicine. (74), 4, S114.
• Hasan H Turan, Nihat Kasap, Dursun Delen, and Huseyin Savran. (2019). "Volume discount strategies for the provider selection problem in telecommunications under uncertainty". Journal of Intelligent & Fuzzy Systems. (37), 2, 2991-3015.
• Behrooz Davazdahemami and Dursun Delen. (2019). "The Confounding Role of Common Diabetes Medications in Developing Acute Renal Failure: a Data Mining Approach with Emphasis on Drug-Drug Interactions". Expert Systems With Applications. (123), 168-177.
• Dursun Delen, Beyzabur C Ervural, and Selim Zaim. (2019). "An ANP-based Methodology to Evaluate Energy Strategies". Istanbul, Turkey: Proceedings of the 25th International Conference on Multiple Criteria Decision Making.
• Behrooz Davazdahemami and Dursun Delen. (2019). "Examining the Effect of Prescriptions Sequence on Developing Adverse Drug Reactions: The Case of Renal Failure in Diabetic Patients". International Journal of Medical Informatics. (125), 62-70.
• Amir H Zadeh, Hamed M Zolbanin, Ramesh Sharda, and Dursun Delen. (2019). "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis". Information Systems Frontiers. (21), 4, 743-760. http://link.springer.com/article/10.1007/s10796-018-9893-0.
• Cemil Kuzey, Ali Uyar, and Dursun Delen. (2019). "An Investigation of the Factors Influencing Cost System Functionality Using Decision Trees, Support Vector Machines and Logistic Regression". International Journal of Accounting and Information Management. (27), 1, 145-157.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2019). "Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support". Pearson: . (1), 978-0135192016.
• Arafat S. Aydiner, Ekrem Tatoglu, Erkan Bayraktar, Selim Zaim, and Dursun Delen. (2019). "Business Analytics and Firm Performance: The Mediating Role of Business Process Performance". Journal of Business Research. (96), 228-237.
• Enes Eryarsoy and Dursun Delen. (2018). "Predicting the Outcome of a Football Game: A Comparative Analysis of Single and Ensemble Analytics Methods". Proceedings of the 52 Hawaii International Conference on System Sciences (HICSS-52).
• Dursun Delen. (2018). "Business Analytics in the Managerial Job Market". Atlanta, GA: INFORMS 13th Data Mining & Decision Analytics Workshop. 1-10.
• Ayse Bagbaba, Baha Sen, Dursun Delen, and Betul Seher Uysal. (2018). "An Automated Grading and Diagnosis System for Evaluation of Dry Eye Syndrome". Journal of Medical Systems. (42), 11, 227-238.
• Behrooz Davazdahemami and Dursun Delen. (2018). "A Chronological Pharmacovigilance Network Analytics Approach for Predicting Adverse Drug Events". Journal of the American Medical Informatics Association (JAMIA). (25), 10, 1311-1321.
• Bhargava K Reddy and Dursun Delen. (2018). "Predicting Hospital Readmission for Lupus Patients: An RNN-LSTM-Based Deep-Learning Methodology". Computers in Biology and Medicine. (101), 1, 199-209.
• Beyzanur Cayir-Ervural, Selim Zaim, and Dursun Delen. (2018). "A Two-Stage Analytical Approach to Assess Sustainable Energy Efficiency". Energy. (164), 1, 822-836.
• Yong-Mi Kim, Pranay Kathuria, and Dursun Delen. (2018). "Machine learning to compare frequent medical problems of African American and Caucasian diabetic kidney patients". Healthcare Informatics Research. (24), 3, 241-248.
• Yong-Mi Kim, Pranay Kathuria, and Dursun Delen. (2018). "Discovering Co-Occurring Medical Complications For Cocaine Users In African American Diabetic Kidney Patients: A Text Mining Method". Biomedical Journal of Scientific & Technical Research. (9), 1, 1-7.
• Zhuqi Miao, Dursun Delen, , and . (2018). "An Assessment and Cleaning Framework for Electronic Health Records Data". Orlando: Proceedings of the 2018 IISE Annual Conference . (1), 907-912.
• Dursun Delen and Hamed M Zolbanin. (2018). "The Analytics Paradigm in Business Research". Journal of Business Research. (90), 1, 186-195.
• Dursun Delen and Sudha Ram. (2018). "Research challenges and opportunities in business analytics". Journal of Business Analytics. (1), 1, 2-13.
• Sudha Ram and Dursun Delen. (2018). "Introduction to the inaugural issue of journal of business analytics". Journal of Business Analytics. (1), 1, 1-2.
• Hamed M Zolbanin and Dursun Delen. (2018). "Processing Electronic Medical Records to Improve Predictive Analytics Outcomes for Hospital Readmissions". Decision Support Systems. (112), 98-110.
• Beyza Nur Cayir, Dursun Delen, and Ramazan Evren. (2018). "A Multi-Objective Decision-Making Approach for Sustainable Energy Investment Planning". Renewable Energy. (126), 1, 387-402.
• Nagesh Ramesh and Dursun Delen. (2018). "Why do Enterprise Transformations Fail? Hint: It's not what you think". Journal of Enterprise Transformation. (8), 3-4, 238-253.
• Hamed M Zolbanin, Dursun Delen, and Sushil K Sharma. (2018). "The Strategic Value of Big Data Analytics in Health Care Policy-Making". International Journal of E-Business Research. (14), 3, 20-33.
• Zhuqi Miao, Shrieraam Sathyanarayanan, Elvena Fong, William Paiva, and Dursun Delen. (2018). "An assessment and cleaning framework for electronic health records data". Proceedings of the 2018 Industrial and Systems Engineering Research Conference.
• Asil Oztekin, Lina Al-Ebbini, Zulal Sevkli, and Dursun Delen. (2018). "A Decision Analytic Approach to Predicting Quality of Life for Lung Transplant Recipients: A Hybrid Genetic Algorithms-based Methodology". European Journal of Operational Research. (266), 2, 639-651.
• Yong-Mi Kim and Dursun Delen. (2018). "A Critical Assessment of Health Disparities across Subpopulation Groups Through a Social Determinants of Health Perspective: The Case of Type 2 Diabetes Patients". Informatics for Health and Social Care. (43), 2, 172-185.
• Nihat Kasap, Hasan H Turan, Huseyin Savran, Bena Tektas-Sivrikaya, and Dursun Delen. (2018). "Provider Selection and Task Allocation in Telecommunications with QoS Degradation Policy". Annals of Operations Research. (263), 1-2, 311-337.
• Saeed Piri, Dursun Delen, Tieming Liu, and William Paiva. (2018). "Development of a New Metric to Identify Rare Patterns in Association Analysis: The Case of Analyzing Diabetes Complications". Expert Systems with Applications. (94), 112-125.
• Saeed Piri, Dursun Delen, and Tieming Liu. (2018). "A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets". Decision Support Systems. (106), 1, 15-29. 0167-9236.
• Beyzanur C Ervural, Selim Zaim, Omer F Demirel, Zeynep Aydin, and Dursun Delen. (2018). "An ANP and Fuzzy TOPSIS-based SWOT Analysis for Turkey's Energy Planning". Renewable & Sustainable Energy Reviews. (82), 1, 1538-1550.
• Dursun Delen, Gregory Moscato, and Inga Linda Toma. (2018). "The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers". London: 2018 International Conference on Information Management and Processing (ICIMP), IEEE Eplore. (1), 49-54.
• Dursun Delen, Asim Tokgoz, Serol Bulkan, Selim Zaim, and Gokhan Torlak. (2018). "Modeling Airline MRO Operations Using a Systems Dynamics Approach: A Case Study of Turkish Airlines". Journal of Quality in Maintenance Engineering. (24), 3, 280-310.
• Dursun Delen, Bunyamin Ozaydin, Ferhat Zengul, and Nurettin Oner. (2017). "Text-Mining Analysis of mHealth Research". mHealth. (3), 53-65.
• Dursun Delen. (2017). "Data Analytics Process: An Application Case on Predicting Student Attrition". Analytics and Knowledge Management, Springer Publisher. 31-66.
• Ozlem A Arda, Dursun Delen, Ekrem Tatoglu, and Selim Zaim. (2017). "An Analytic Approach to Assessing Organizational Citizenship Behavior". Decision Support Systems. (103), 1, 9-23.
• Madhav Erraguntla, Dursun Delen, Rupesh K Agrawal, Karthic Madanagopal, and Richard Mayer. (2017). "Mobile-Based Sidewalk Inventory App for the Smart Communities, the Health, and the Safety". Suburban Sustainability. (5), 1, 3-15.
• Berna Tektas Sivrikaya, Ferhan Cebi, Hasan H Turan, Nihat Kasap, and Dursun Delen. (2017). "A Fuzzy Long-Term Investment Planning Model for a GenCo in a Hybrid Electricity Market Considering Climate Change Impacts". Information Systems Frontiers. (19), 5, 975-991.
• Saeed Piri, Dursun Delen, Hamed M Zolbanin, and Tieming Liu. (2017). "A Data Analytics Approach to Building a Clinical Decision Support System for Diabetic Retinopathy: Developing and Deploying a Model Ensemble". Decision Support Systems. (101), 12-27.
• Lina Al-Ebbini, Asil Oztekin, Zulal Sevkli, and Dursun Delen. "Predicting Quality of Life for Lung Transplant Recipients: A Hybrid Genetic Algorithms-based Methodology". Proceedings of the 2017 IEEE Conference on Applied Electrical Engineering and Computing Technologies (Forthcoming).
• Yong-Mi Kim, Pranay Kathuria, and Dursun Delen. "Discovering Different CKD-Related Medical Problems for African American Male and Female Groups using a Machine Learning Technique". Proceedings of 13th International Conference On Knowledge Management (Forthcoming).
• Dursun Delen, M. Fatih Acar, Merve Tarim, Halil Zaim, and Selim Zaim. (2017). "Knowledge Management and ERP: Complementary or Contradictory?". International Journal of Information Management. (37), 703–712.
• Dursun Delen, Nihat Kasap, Berna Tektas Sivrikaya, and Hasan H. Turan. (2017). "A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels". International Journal of Computational Intelligence Systems. (10), 1, 866-881.
• Dursun Delen, Leman Tomak, Enes Eryarsoy, and Kazim Topuz. (2017). "Investigating Injury Severity Risk Factors in Automobile Crashes with Predictive Analytics and Sensitivity Analysis Methods". Journal of Transport & Health. (4), 118-131.
• Dursun Delen, Madhav Erraguntla, Karthic Madanagopal, John Freeze, Ric Mayer, and Jam Khojasteh. (2017). "Data Integration and Predictive Analysis System for Disease Prophylaxis". Proceedings of the 50th Hawaii International Conference on System Sciences.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2017). "Business Intelligence Analytics, And Data Science: A Managerial Perspective". New York, NY: Pearson Publishing Company.
• Yong-Mi Kim and Dursun Delen. (2017). "Medical Informatics Research Trend Analysis: A Text Mining Approach". Health Informatics Journal. (24), 4, 432-452.
• Peker M., Sen B., and Dursun Delen. (2016). "A Novel Method for Automated Diagnosis of Epilepsy using Complex-Valued Classifiers". IEEE Journal of Biomedical and Health Informatics. (20), 1, 108-118.
• Dursun Delen. (2016). "Mandate for STEM Educators". OR/MS Today (INFORMS Publication). (August), 1, 40-43.
• Hilal Kaya, Baha Sen, and Dursun Delen. (2016). "Supporting the diagnosis process and processes after treatment by using image segmentation and image simulation techniques: Keratoconus example". Journal of the Faculty of Engineering and Architecture of Gazi University. (31), 3, 737-747.
• Ayse Arslan, Baha Sen, Dursun Delen, and Fatih V Celebi. (2016). "Implementation of Computer Assisted Voice Search Engine for Medical Transcription". Istanbul: Global Joint Conference on Industrial Engineering and Its Application Areas. 114-121.
• Ayse Arslan, Baha Sen, Dursun Delen, Betul S Uysal, Fatih V Celebi, and Hasan B Cakmak. (2016). "A Computer-Aided Grading System for Clinical Evaluation of Dry Eye Syndrome". Istanbul: Global Joint Conference on Industrial Engineering and Its Application Areas. 4-12.
• Hasan Dincer, Unit Hazioglu, Ekrem Tatoglu, and Dursun Delen. (2016). "A Fuzzy-Hybrid Analytic Model to Assess Investors' Perceptions for Industry Selection". Decision Support Systems. (86), 1, 24-34.
• Hasan H Turan, Nihat Kasap, Dursun Delen, and Mehmet N Serarslan. (2016). "Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme". International Journal of Computational Intelligence Systems. (9), 2, 227-244.
• Hamed M Zolbanin and Dursun Delen. (2015). "Investigating Cancer Comorbidity: A Data Mining Approach". Houston, TX: South West Decision Sciences Institute.
• Amir Hassan Zadeh, Hamed Zolbanin, Ramesh Sharda, and Dursun Delen. (2015). "Social Media for Nowcasting the Flu Activity: Spatial-temporal and Text Analysis (BEST PAPER AWARD RECIPIENT) ". Business Analytics Congress, December 2015, Fort Worth, Texas.
• Amir H Zadeh, Hamed M Zolbanin, Ramesh Sharda, and Dursun Delen. (2015). "Investigating the Temporal-Spatial Cross-Correlation between the Flu Activity on Twitter and Clinical Health Records". Nashville, TN: INFORMS Healthcare Confernce.
• Dursun Delen, Musa Peker, and Baha Sen. (2015). "Computer-Aided Diagnosis of Parkinson’s Disease Using Complex-Valued Neural Networks and mRMR Feature Selection Algorithm". Journal of Healthcare Engineering. (6), 3, 281-302.
• Hamed Majidi Zolbanin, Dursun Delen, and Amir Hassan Zadeh. (2015). "Predicting Overall Survivability in Comorbidity of Cancers: A Data Mining Approach". Decision Support Systems. (74), 150-161.
• Oztekin A., Dursun Delen, Zaim H., Turkyilmaz A., and Zaim S.. (2015). "The Influence of Knowledge Management on Financial and Non-Financial Performance". Journal of Information and Knowledge Management. (14), 2, 1-14.
• Eyup Basti, Cemil Kuzey, and Dursun Delen. (2015). "Analyzing initial public offerings' short-term performance using decision trees and SVMs". Decision Support Systems. (73), C, 15-27.
• Dursun Delen. (2015). "Real-World Data Mining: Applied Business Analytics and Decision Making". Upper Saddle River, New Jersey: Financial Times Press (A Pearson Company). 1st, 978-0133551075.
• Kilic H., Zaim S., and Dursun Delen. (2015). "The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods". Expert Systems with Applications. (42), 5, 2343-2352.
• Fone Pengnate and Dursun Delen. (2014). "Evaluating Emotions in Mobile Application Descriptions: Sentiment Analysis Approach". Savannah, Georgia: Association for Information Systems - AMCIS 2014. (1), 1,
• Thammasiri D., Dursun Delen, Meesad P., and Kasap N.. (2014). "A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition". Expert Systems with Applications. (41), 2, 321-330.
• Musa Peker, Baha Sen, and Dursun Delen. (2014). "Classification of Parkinson's Disease Using Complex-Valued Neural Networks". Istanbul: GLOBAL CONFERENCE ON HEALTHCARE SYSTEMS ENGINEERING (GCHSE) 2014, Istanbul Technical University. (1), 1, 67-78.
• Dursun Delen, H Kaya, A Cavusoglu, H B Cakmak, and B Sen. (2014). "Determining the Correct Diagnosis and Appropriate Treatment Method on Keratoconus: a 3D Decision Support Application". Istanbul: GLOBAL CONFERENCE ON HEALTHCARE SYSTEMS ENGINEERING (GCHSE) 2014, Istanbul Technical University. (1), 1, 111-120.
• H S Kilic, S Zaim, and Dursun Delen. (2014). "Development of a Hybrid Methodology for ERP System Selection: The Case of Turkish Airlines". Decision Support Systems. (66), 1, 82-92. DOI: 10.1016/j.dss.2014.06.011.
• Cemil Kuzey, Ali Uyar, and Dursun Delen. (2014). "The Impact of Multinationality on Firm Value: A Comparative Analysis of Machine Learning Techniques". Decision Support Systems. (59), 1, 127–142.
• Dursun Delen, Selim Zaim, Mehmet Sevkli, and Yesim Yayla. (2014). "Use of ANP Weighted Crisp and Fuzzy QFD for Product Development". Expert Systems with Applications. (41), 9, 4464–4474.
• Dursun Delen, Nihat Emanet, Halil R. Oz, and Nazan Bayram. (2014). "A Comparative Analysis of Machine Learning Methods for Classification Type Decision Problems in Healthcare". Decision Analytics. (1), 1, 1-20.
• Dursun Delen, Asil Oztekin, and Kyle Best. (2014). "Analyzing the Predictability of Exchange Traded Funds Characteristics in the Mutual Fund Market on the Flow of Shares using a Data Mining Approach". Proceedings of the Hawaii International Conference on Systems Sciences. (1), 1, 105-114.
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2013). "Business Intelligence: A Managerial Perspective on Analytics". New Jersey: Prentice Hall. 3rd,
• Ramesh Sharda, Dursun Delen, and Efraim Turban. (2013). "Businesss Intelligence and Analytics: Systems for Decision Support". New Jersey: Prentice Hall. 10th Edition, 648.
• Hasan H Turan, Nihat Kasap, and Dursun Delen. (2013). "A Fuzzy Capacity Acquisition and Allocation Model for Bandwith Brokers Under Uncertainty". Kusadasi, Aydin: Proceedings of the 3rd International Symposium on Computing in Science and Engineering. Gediz university,. (1), 1, 73-78.
• Dursun Delen, Cemil Kuzey, and Ali Uyar. (2013). "Measuring firm performance using financial ratios: A decision tree approach". Expert Systems with Applications. (40), 10, 3970–3983.
• Dursun Delen and Christie Fuller. (2013). "An Analytic Approach to Understanding and Predicting Healthcare Coverage". Athens, Greece: International Conference on Informatics, Management, and Technology in Healthcare. (190), 1, 198-206.
• Asil Oztekin, Dursun Delen, Ali Turkyilmaz, and Selim Zaim. (2013). "A Machine Learning-based Usability Evaluation Method for eLearning Systems". Decision Support Systems. (56), 1, 63-73.
• Dursun Delen and Haluk Demirkan. (2013). "Data, Information and Analytics as Services". Decision Support Systems. (55), 1, 359–363.
• Haluk Demirkan and Dursun Delen. (2013). "Leveraging the Capabilities of Service-Oriented Decision Support Systems: Putting Analytics and Big Data in Cloud". Decision Support Systems. (55), 1, 412–421.
• Nihat Kasap, Dursun Delen, and Berna Tektas. (2013). "Optimal Pricing Strategies for Capacity Leasing Based on Time and Volume Usage in Telecommunication Networks". Decision Sciences Journal. (44), 1, 161–191.
• Dursun Delen, Halil Zaim, Cemil Kuzey, and Selim Zaim. (2013). "A Comparative Analysis of Machine Learning Systems for Measuring the Impact of Knowledge Management Practices". Decision Support Systems. (54), 2, 1150–1160.
• Baha SEN, Emine UCAR, and Dursun Delen. (2012). "Predicting and Analyzing Secondary Education Placement-Test Scores: A Data Mining Approach". Expert Systems with Applications. (39), 10, 9468-9476.
• Dursun Delen, Ramesh Sharda, and . (2012). "Forecasting Financial Success of Hollywood Movies: A Comparative Analysis of Machine Learning Methods ". Rome: Artificial Neural Networks and Intelligent Information Processing Workshop (9th ICINCO Conferece) . 178-183.
• Christie Fuller and Dursun Delen. (2012). "Detecting Deception in Text with Freely Available Text and Data Mining Tools, in Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications". Academic Press (Elsevier). 1, 533-542.
• Dursun Delen. (2012). "Extracting Knowledge from Published Literature Using RapidMiner (Tutorial H), in Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications". Academic Press (Elsevier). (1), 1, 375-394.
• Dursun Delen. (2012). "Predicting Box Office Success of Motion Pictures with Text Mining, in Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications". Academic Press (Elsevier). 1, 543-556.
• Dursun Delen, John Elder, Bob Nisbet, Tomm Hill, and Gary Miner. (2012). "Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications". Elsevier Publishing Co.. 978-0123869791.
• Dursun Delen, Douglas Cogdell, and Nihat Kasap. (2012). "A Comparative Analysis of Data Mining Methods in Predicting NCAA Bowl Outcomes". International Journal of Forecasting. (28), 543–552.
• Dursun Delen, Asil Oztekin, and Leman Tomak. (2012). "An Analytic Approach to Better Understanding and Management of Coronary Surgeries". Decision Support Systems. (52), 3, 698-705.
• David L Olson, Dursun Delen, and Yanyan Meng. (2012). "Comparative Analysis of Data Mining Models for Bankruptcy Prediction". Decision Support Systems. (52), 2, 464-473.
• Dursun Delen, Mehmet Sevkli, Asil Oztekin, Ozgur Uysal, Gökhan Torlak, and Ali Turkyilmaz. (2012). "Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey". Expert Systems with Applications. (39), 1, 14-24.
• Dursun Delen, Erkan Bayraktar, Ekrem Tatoglu, Ali Turkyilmaz, and Selim Zaim. (2012). "Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA". Expert Systems with Applications. (39), 1, 99-106.
• Dursun Delen, Asil Oztekin, and Aziz Kolkiran. (2012). "Intelligent Computational Techniques in Science, Engineering and Business (Editorial)". Expert Systems with Applications. (39), 1, 1-2.
• Jinhwa Kim, Jae-Kwon Bae, and Dursun Delen. (2011). "Understading Black Boxes: Knowledge Induction From Models". AIS Electronic Library: Pacific Asia Conference on Information Systems. (1), 1, 1-7.
• Christie M. Fuller, David Biros, and Dursun Delen. (2011). "An Investigation of Data and Text Mining Methods for Real World Deception Detection". Expert Systems with Applications. (38), 7, 8392-8398.
• Christie Fuller, Dursun Delen, and David Biros. (2011). "Data and Text Mining methods applied to the task of Detecting Deception in Real World Crime Investigation Records". Expert Systems with Applications.
• Dursun Delen, M. Erraguntla, R.J. Mayer, and C.N. Wu. (2011). "Better Management of Blood Supply-Chain with GIS-Based Analytics". Annals of Operations Research. (185), 181-193.
• Dursun Delen, Bill C Hardgrave, and Ramesh Sharda. (2011). "The Promise of RFID-based Sensors in the Perishables Supply Chain". IEEE Wireless Communications. (18), 2, 82-88. http://dx.doi.org/10.1109/MWC.2011.5751300.
• Dursun Delen. (2011). "Predicting Student Attrition with Data Mining Methods". Journal of College Student Retention. (13), 1, 17-35.
• Asil Oztekin, James Kong, and Dursun Delen. (2011). "Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations". Decision Support Systems. (51), 155-166.
• Dursun Delen. (2010). "A Comparative Analysis of Machine Learning Techniques for Student Retention Management". Decision Support Systems. (49), 4, 498-506.
• Dursun Delen, Mehmet Sevkli, Gokhan Torlak, Asil Oztekin, and Selim Zaim. (2010). "Determining the Best Strategy Using SWOT ANP and AHP Methods: An Example of Turkish Domestic Aviation Industry". Gediz University Publishing: Gediz University. 174-182.
• Dursun Delen, Ali Turkyilmaz, Asil Oztekin, Halim Zaim, and Selim Zaim. (2010). "Measuring Customer Satisfaction And Loyalty In Turk Telekom Company Using Universal Structure Modeling". Gediz University Publishing: Gediz University. 234-242.
• Dursun Delen. (2010). "GA-PLS WebServUse: A Method for Measuring Web Service". Gediz University Publishing: Gediz University. 72-79.
• Efraim Turban, Ramesh Sharda, and Dursun Delen. (2010). "Decision Support and Business Intelligence Systems (9th Edition)". Upper Saddle River NJ: Prentice Hall. 9th, 0-13-610729-X.
• Efraim Turban, Ramesh Sharda, Dursun Delen, and David King. (2010). "Business Intelligence: A Managerial Approach (2nd Edition)". Prentice Hall. 978-0136100669.
• Dursun Delen, A. Oztekin, and Z. Kong. (2010). "A Machine Learning-Based Approach to Prognostic Analysis of Thoracic Transplantations". Artificial Intelligence in Medicine. (49), 1, 33-42.
• Dursun Delen, A. Oztekin, F. M. Pajouh, and L. K. Swim. (2010). "An RFID Network Design Methodology for Asset Tracking in Healthcare". Decision Support Systems. (49), 1, 100-109.
• Dursun Delen and Ramesh Sharda. (2010). "Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach". Industrial Engineering Journal (a Turkish/English Journal for Industrial Engineers). (21), 1, 30-37. http://www.mmo.org.tr/resimler/dosya_ekler/c5b45ddb3ff1f62_ek.pdf.
• Dursun Delen and Ramesh Sharda. (2009). "Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach". OR/IE Conference.
• Dursun Delen. (2009). "Analysis of Cancer Data: A Data Mining Approach". Expert Systems. (26), 1, 100-112.
• Dursun Delen. (2009). "A Holistic Approach to Manufacturing Systems Modeling". International Journal of Simulation and Process Modeling. (5), 1, 54-61.
• Dursun Delen, A. Oztekin, and Z. Kong. (2009). "Predicting the Graft Survival for Heart–Lung Transplantation Patients: An Integrated Data Mining Methodology". International Journal of Medical Informatics . (78), 12, 784-796.
• Dursun Delen, Christie Fuller, C. McCann, and Deepa Ray. (2009). "Analysis of Health Care Coverage: A Data Mining Approach". Expert Systems with Applications. (36), 2, 995-1003 .
• Dursun Delen. (2009). "Predicting Movie Box-Office Receipts: Using SPSS Clementine Data Mining Software (Tutorial C), in Handbook of Statistical Analysis and Data Mining Applications". Academic Press. 391–415.
• Dursun Delen, Christie Fuller, C. McCann, and Deepa Ray. "Analysis of Health Care Coverage: A Data Mining Approach". Expert Systems with Applications (Forthcoming).
• Dursun Delen and Martin D. Crossland. (2008). "Seeding the Survey and Analysis of Research Literature with Text Mining". Expert Systems with Applications. (34), 3, 1707-1720.
• David L. Olson and Dursun Delen. (2008). "Advanced Data Mining Techniques". NY: Springer Publishing. 3540769161.
• Dursun Delen and Ramesh Sharda. (2008). "Artificial Neural Networks in Decision Support Systems". Springer-Verlag . 3540487123 .
• Christie Fuller, David Biros, and Dursun Delen. (2008). "Exploration of Feature Selection and Advanced Classification Models for High-Stakes Deception Detection". Proceedings of the 41st Annual Hawaii International Conference on System Sciences.
• Dursun Delen, B.C. Hardgrave, and Ramesh Sharda. (2007). "RFID for Better Supply-Chain Management through Enhanced Information Visibility". Productions and Operations Management. (16), 5, 613-624. http://dx.doi.org/10.1111/j.1937-5956.2007.tb00284.x.
• M. Henry, Ramesh Sharda, and Dursun Delen. (2007). "Using Neural Networks to Forecast Box Office Success". 13th Americas Conference on Information Systems. http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1852&context=amcis2007.
• Dursun Delen and Nikunj Dalal. (2007). "“Successful Business Process Transformation at J.D. Edwards,” in L. Markus & V. Grover (eds.), Business Process Transformation, Advances in Management Information Systems Research Monographs". M.E. Sharpe Publishing. 237-251.
• Dursun Delen, Ramesh Sharda, and P. Kumar. (2007). "Movie Forecast Guru: A Web-Based DSS for Hollywood Managers". Decision Support Systems. (43), 4, 1151-1170. http://dx.doi.org/10.1016/j.dss.2005.07.005.
• Dursun Delen and E. Sirakaya. (2006). "Determining the Efficacy of Data Mining Methods in Predicting Gaming Ballot Outcomes". Journal of Hospitality and Tourism Research. (30), 3, 313-332.
• Ramesh Sharda and Dursun Delen. (2006). "Predicting Box Office Success of Motion Pictures with Neural Networks". Expert Systems with Applications. (30), 243-254. http://dx.doi.org/10.1016/j.eswa.2005.07.018.
• Ramesh Sharda and Dursun Delen. (2006). "How to Predict a Movie’s Success at the Box Office". FORESIGHT: The International Journal of Applied Forecasting. (5), http://ideas.repec.org/a/for/ijafaa/y2006i5p32-36.html#cites, 32-36. http://ideas.repec.org/a/for/ijafaa/y2006i5p32-36.html.
• Dursun Delen, Ramesh Sharda, and M. Bessonov. (2006). "Identifying Significant Predictors of Injury Severity in Traffic Accidents Using a Series of Artificial Neural Networks". Accident Analysis & Prevention. (38), 3, 434-444. http://www.sciencedirect.com/science/article/pii/S0001457505001879.
• Dursun Delen and David B Pratt. (2006). "An Integrated and Intelligent DSS for Manufacturing Systems". Expert Systems with Applications. (30), 2, 325-336 .
• Dursun Delen and N. Patil. (2006). "Knowledge Extraction from Prostate Cancer Data". Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06). (5), 1, 92-101. 0-7695-2507-5.
• Dursun Delen, Meg Kletke, and Jinhwa Kim. (2005). "A Scalable Classification Algorithm for Very Large Datasets". Journal of Information and Knowledge Management. (4), 2, 83-94.
• Dursun Delen. (2005). "A Structured View to Manufacturing Systems Modeling: An IDEFØ Perspective". Proceedings of the 35th International Conference on Computers and Industrial Engineering. 147-152.
• E. Sirakaya, Dursun Delen, and H. Choi. (2005). "Forecasting Gaming Referenda". Annals of Tourism Research. (32), 1, 127-149.
• Dursun Delen, Nikunj Dalal, and P.C. Benjamin. (2005). "Integrated Modeling: The Key to Holistic Understanding of the Enterprise". Communications of the ACM. (48), 4, 107-112.
• S. Ramachandran and Dursun Delen. (2005). "Performance Analysis of Kitting Process in Stochastic Assembly Systems". Computers and Operations Research. (32), 449-463.
• Meg Kletke and Dursun Delen. (2005). "Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications". Proceedings of the America’s Conference on Information Systems. 1512-1516.
• Meg Kletke and Dursun Delen. (2005). "Data Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications". AMCSIS.
• Dursun Delen, G. Walker, and Amit Kadam. (2005). "Predicting Breast Cancer Survivability: A Comparison of Three Data Mining Methods". Artificial Intelligence in Medicine. (34), 2, 113-127.
• Dursun Delen. (2005). "A Holistic Framework for Knowledge Management". Communications of the ACM. (6), 2, 10-16.
• Meg Kletke, Dursun Delen, and J. Kim. (2004). "An Approach to Improve Classification Accuracy in Very Large Datasets". Proceedings of the America’s Conference on Information Systems.
• Dursun Delen and S. Ramachandran. (2003). "A Hybrid Approach to Knowledge Discovery from Military Health Systems". Journal of Neural, Parallel & Scientific Computations. (11), 161-183.
• Dursun Delen and D. Pratt. (2003). "IDSS-MS: An Intelligent DSS for Manufacturing Systems Manager". Proceedings of Pre-ICIS Workshop on Decision Support Systems.
• Dursun Delen and P. Benjamin. (2003). "Towards a Truly Integrated Enterprise Modeling and Analysis Environment". Computers in Industry. (51), 257-268.
• Dursun Delen, M. Erraguntla, and P. Benjamin. (2003). "Agent-Based Planning, Monitoring, and Re-planning System". Proceedings of the 6th International Conference on Business Information Systems.
• Dursun Delen. (2003). "Oklahoma State University Students Uncover, Explain and Predict with Statistical Data Miner". DM Review. February 2003, 63.
• P. Benjamin, Dursun Delen, S. Ramachandran, and M. Erraguntla. (2002). "Towards a Knowledge Discovery Framework". Proceedings of the International Conference on Information and Knowledge Engineering. 234-243.
• Dursun Delen. (2001). "Enabling Multi-Use, Multi-Tool Models of Manufacturing Systems through an Experimental Frame Expert System". Journal of Intelligent Manufacturing. (12), 3, 247-255.

Presentations

• Firms for the planet: is sustainability a zero-sum game?
  POMS International Conference
  Production Operations Management Society (POMS)
  Istanbul, Turkey - June 25 2024
• Teaching Business Analytics and Data Science Best Practices with a No-code Software Platform—KNIME
  European Conference on Information Systems (ECIS)
  Association for Information Systems (AIS)
  Paphos, Cyprus - June 16 2024
• A Decision support framework for Graft survival among Kidney transplant recipients: An Explainable analytics artifact design
  14th European Decision Science Institute Annual Conference
  Decision Science Institute
  Venice, Italy - June 4 2024
• A Novel Hyperparameter Search Approach for Accuracy and Simplicity in Disease Prediction Risk Scoring
  34th Annual Production and Operations Management Society (POMS) Conference
  Production and Operations Management Society
  Minneapolis, Minnesota - April 25 2024
• A Hybrid AI and Optimization Framework to Address the Issue of Frequent Missing Values: The Case of Clinical Decision Support Systems for Parkinson's Disease
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - October 17 2023
• Visual Programming for Predicting and Mitigating College Students Attrition
  IMFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - October 16 2023
• A Hybrid Analytics Framework Toward Better Explanations: The Case of Survival After Lung Transplantation
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - October 15 2023
• Best Practices in Teaching Business Analytics and Data Science
  Presenting to the Faculty at University of Tartu, Estonia
  University of Tartu
  Tartu, Estonia - October 13 2023
• An Experiential Perspective to the Current State-of-the-Art in Health Analytics
  3rd International Congress on Medical Informatics
  Istanbul Unviersity
  Istanbul, Turkey - September 28 2023
• Demystifying Data Science for Real-World Problems
  International Conference on Operations Research, Business Analytics, and Data Science (ICODAS)
  Istanbul University
  Beyazit, Istanbul, Turkey - June 22 2023
• Current State-of-the-Art in Health Care Analytics: An Experiential Perspective
  KU Healthcare Operations Workshop
  Koc University
  Topkapi, Istanbul, Turkey - June 10 2023
• The Business Analytics Paradigm for Doing Research in the New Normal
  2nd Conference on Business Research and Management (BRM): Business Research in New Normal
  University of New York - Tirana
  Tirana, Albania - May 25 2023
• Senior Editor’s Panel (for Journal of Business Analytics)
  2022 Pre-ICIS SIGDSA Symposium
  Association for Information Syetems (AIS)
  Kopenhagen (and Online) - December 10 2022
• Analytics in Healthcare
  3rd Annual Business Analytics Conference
  Sabanci University
  Istanbul, Turkey - November 11 2022
• Multimorbidities Network Analysis for Neurodegenerative Diseases
  INFORMS Annual Meeting
  INFORMS
  Indianapolis, IN - October 17 2022
• Multimorbidities Network Analysis for Neurodegenerative Diseases
  INFORMS Annual Meeting
  INFORMS
  Indianapolis, IN - October 17 2022
• Ease of Text Analytics with Visual Programming
  INFORMS Annual Meeting
  INFORMS
  Indianapolis, IN - October 16 2022
• Data Science and AI: A Longitudinal Perspective
  Academic Research Seminar Series
  Anadolu Unvirsity
  Eskisehir, Turkey - July 21 2022
• Assessing Ambulatory HIT Spillover Effects on Hospital Inpatient Costs
  International Conference on Information Systems
  AIS
  Austin, TX - December 13 2021
• Identifying Influential Factors on Recipients’ Quality of Life After Lung Transplantation using Predictive Analytics and Explainable AI
  INFORMS Annual Meeting
  INFORMS
  Anaheim, CA - October 27 2021
• Visual Programming: Teaching for Business Analytics Best Practices
  INFORMS Annual Meeting
  INFORMS
  Anaheim, CA - October 26 2021
• HIT Spillovers and Sustained Cooperation
  INFORMS Annual Meeting
  INFROMS
  Anaheim, CA - October 25 2021
• A Predictive Analytics And Explainable AI Methodology To Identifying Injury Severity Risk Factors In Car Crashes
  INFORMS Annual Meeting
  INFORMS
  Anaheim, CA - October 24 2021
• Continually Improving Diabetes Education Based on Patients Social Media Interactions Using Text Analytics
  INFORMS Annual Meeting
  INFORMS
  Anaheim, CA - October 24 2021
• KNIME Analytics Platform for Visual Data Science and Business Analytics Teaching
  The 52nd ACM Technical Symposium on Computer Science Education (SIGSCE 2021)
  American Computing Machinery (ACM)
  Online by ACM - March 16 2021
• Explicating Data Science with a Variety of Real-World Application Cases
  Fifth International Workshop on Biomedical Informatics with Optimization and Machine Learning (BOOM) in Conjunction with 29th International Joint Conference on Artificial Intelligence (IJCAI)
  29TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
  Yokohama, Japan - January 6 2021
• Teaching Analytics with Ease: Introducing the KNIME Analytics Platform as a Visual Analytics Software Environment
  PreICIS SIGDSA Worksop
  AIS
  Virtual - December 13 2020
• The Journal of Business Analytics and Untangling the Term Confusion Over Business Analytics
  The Eighth Global Supply Chain Management Conference
  The University of Toledo
  Toledo, Ohio - December 5 2020
• Demystifying Data Science with a Potpourri of Real-world Cases
  The Fourth Annual IEEE Systems Modelling Conference
  IEEE and The University of New South Wales Canberra
  Canberra, Australia - October 27 2020
• Stroke-risk Stratification Scheme an EHR Based Predictive Analytics Study
  INFORMS Annual Meeting
  Institute for Operations Research and Management Science
  Seattle, WA - October 23 2019
• Comparing the Prediction of Length of Stay in Hospitals Between SMOTE and W-SIMO
  INFORMS Annual Meeting
  Institute for Operations Research and Management Science
  Seattle, WA - October 22 2019
• Survival Guide for Junior Faculty
  INFORMS Annual Conference
  Institute for Operations Research and Management Science
  Seattle, WA - October 21 2019
• An Initialization Procedure For the Hidden Markov Model Learning Algorithm That Supports Implementation of Multilevel Disease Progression Models
  INFORMS Annual Meeting
  Institute for Operations Research and Management Science
  Seattle, WA - October 20 2019
• Development of an Instrument to Measure the Patient Satisfaction For Improving Adherence of Obstructive Sleep Apnea Treatment
  INFORMS Annual Meeting
  Institute for Operations Research and Management Science
  Seattle, WA - October 20 2019
• Demystifying Business Analytics and Data Science
  International Symposium for Production Research - 2019
  Society for Production Research
  Vienna, Austria - August 30 2019
• Stroke-risk Stratification Scheme an EHR Based Predictive Analytics Study
  INFORMS Annual Confernce
  INFORMS
  Cancun, Mexico - August 17 2019
• Best Practices in Business Analytics and Data Science
  LC Waikiki Analytics Meeting
  LC Waikiki
  Istanbul, Turkey - July 23 2019
• Business Intelligence, Analytics, and Data Science: Systems for Decision Support
  Euro-Asia Forum on Politics, Economics, and Business
  Eurasia Business and Economics Society
  Istanbul, Turkey - July 11 2019
• Best Practices in Machine Learning
  Business Analytics Seminar
  Istanbul Sehir University
  Istanbul, Turkey - March 19 2019
• Predicting the Outcome of a Football Game: A Comparative Analysis of Single and Ensemble Analytics Methods
  HICSS 2019
  Hawaii International Conference on Systems Sciences
  Maui, Hawaii - January 10 2019
• Patient - Demographic and Health Factors Influencing the Length of Stay in Hospital
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 7 2018
• Predicting and Understanding Freshmen Student Retention- Development of a Bayesian Belief Network-based DSS
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 7 2018
• Characterizing Obstructive Sleep Apnea with Association Rule Mining and Sequence Analysis
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 6 2018
• Learning Hidden Markov Models with Regulated Initialization using Multinomial Regression
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 5 2018
• A Chronological Pharmacovigilance Network Analysis Approach for Predicting Adverse Drug Events
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 4 2018
• Quantification of Stroke Risk in Patients with Atrial Fibrillation and Obstructive Sleep Apnea
  INFORMS Annual Meeting
  INFORMS
  Phoenix, AZ - November 4 2018
• Business Analytics in the Managerial Job Market
  INFORMS 13th Data Mining & Decision Analytics Workshop
  INFORMS
  Phoenix, AZ - November 3 2018
• Workshop - Teaching Analytics with Teradata University Network and SAS Visual Analytics & Visual Statistics
  Production and Operations Management Society (POMS) Annual Conference
  Houston, TX - May 5 2018
• Creating Knowledge with Big Data and Analytics
  13th International Conference On Knowledge Management (ICKM 2017)
  International Council On Knowledge Management
  Dallas, TX - October 26 2017
• Characterizing Obstructive Sleep Apnea a Descriptive Analytics Approach
  INFORMS Annual Meeting - 2017
  INFORMS
  Houston, TX - October 23 2017
• Developing a Synthetic Informative Minority Over-sampling (SIMO) Algorithm Embedded in Support Vector Machines to Learn from Imbalanced Datasets
  INFORMS Annual Meeting - 2017
  INFORMS
  Houston, TX - October 23 2017
• Investigating The Effect Of Prescription Sequence On Developing Adverse Drug Reactions
  INFORMS Annual Meeting - 2017
  INFORMS
  Houston, TX - October 23 2017
• Real Time Detection of Acute Hypotensive Episode in Intensive Care Unit to Reduce Mortality Rate
  INFORMS Annual Meeting - 2017
  INFORMS
  Houston, TX - October 22 2017
• Development of a State-of-the-art Clinical DSS For Diabetic Retinopathy
  INFORMS Healthcare Confernce
  INFORMS
  Rotterdam, Netherlands - July 26 2017
• Classifying Healthy and Infarcted Patients Using Vector Magnitude Derived QT and Heart Rate Variabilities: A Machine Learning Approach
  Big XII+ MIS Conference
  University of Nebraska - Omaha
  Omaha, Nebraska - April 7 2017
• Big Data Analytics: Implications in Academic Research and Teaching
  Invited Research Semininar
  Istanbul Sehir University
  Istanbul, Turkey - March 11 2017
• Data Integration and Predictive Analysis System for Disease Prophylaxis
  Hawaii International Conference on System Sciences
  HICSS
  Hawaii - January 4 2017
• A Non-invasive Dagnostic Method for Retinopathy
  INFORMS Annual Meeting 2016
  Nashville, TN - 2016
• Teaching Analytics Using Teradata University Network Resources
  INFORMS Annual Meeting
  INFORMS
  Nashville, TN - November 16 2016
• Developing A Non Invasive Tool To Diagnose Diabetic Retinopathy
  INFORMS Annual Meeting
  INFORMS
  Nashville, TN - November 15 2016
• A Clinical Decision Support System for Primary Care Providers to Detect Diabetes
  HDCC Research Symposium
  October 2016
• Demystifying Big Data and Analytics with Real World Applications
  Global Joint Conference on Industrial Engineering and Its Application Areas
  Istanbul Technical University and TUBITAK
  Istanbul, Turkey - July 15 2016
• Use of Analytics to Investigate Crash Related Risk Factors
  INFORMS Annual Conference
  INFORMS
  Philadelphia, PA - November 3 2015
• Investigating the Temporal-Spatial Cross-Correlation between the Flu Activity on Twitter and Clinical Health Records
  INFORMS Healthcare Meeting
  INFORMS
  Nashville - July 2015
• Creating Knowledge with Big Data and Analytics
  KIPA (Knowledge and Information Professional Association) Annual Conference
  KIPA
  Denton, TX - March 6 2015
• SAS Visual Analytics
  ICIS Pre-Confernce Workshop by SIGDSA
  AIS/SIGDSA
  Auckland, New Zealand - November 14 2014
• KEYNOTE: Current State-of-the-Art in Health Care Analytics: An Experiential Perspective
  GLOBAL CONFERENCE ON HEALTHCARE SYSTEMS ENGINEERING (GCHSE) 2014
  Istanbul Technical University and TUBITAK
  Istanbul, Turkey - August 7 2014
• Classification of Parkinson's Disease Using Complex-Valued Neural Networks
  GLOBAL CONFERENCE ON HEALTHCARE SYSTEMS ENGINEERING (GCHSE) 2014
  Istanbul Technical University and TUBITAK
  Istanbul, Turkey - August 6 2014
• Determining the Correct Diagnosis and Appropriate Treatment Method on Keratoconus: a 3D Decision Support Application
  GLOBAL CONFERENCE ON HEALTHCARE SYSTEMS ENGINEERING (GCHSE) 2014
  Istanbul Technical University and TUBITAK
  Istanbul, Turkey - August 6 2014
• An Analytic Approach to Understanding and Predicting Healthcare Coverage
  International Conference on Informatics, Management, and Technology in Healthcare
  European Federation for Medical Informatics
  Athens, Greece - July 7 2013
• An Analytical Approach to Student Retention Management
  College of Information PhD Colloquium
  University of North Texas
  Denton, TX - March 21 2013
• An Investigation of Imbalanced Data Distribution: The Case of Predicting Student Attrition
  DSI (Decision Sciences Institute) Annual Meeting
  DSI
  San Francisco, CA - November 17 2012
• Developing a Healthcare Cost Index Using Advanced Analytics
  INFORMS (Institute for Operations Research and Management Science) Annual Meeting
  INFORMS
  Phoenix, AZ - October 14 2012
• Financial Success of Hollywood Movies: A Comparative Analysis of Machine Learning Methods
  Special Session on Artificial Neural Networks and Intelligent Information Processing
  9th International Conference on Informatics in Control, Automation and Robotics
  Rome, Italy - July 28 2012
• Use of Data Mining Techniques in Analyses of Organ Transplantation Procedures
  INFORMS Annual Conference
  INFORMS
  Charlotte, NC - November 13 2011
• Predicting Financial Success of Hollywood Movies with Advanced Analytics (Sponsored/Invited Talk)
  Analytics 2011
  SAS
  Orlando, FL - October 23 2011
• Real-world Knowledge Discovery with Data and Text Mining
  Invited Scholar Seminar
  Sabanci University
  Istanbul, Turkey - August 2 2011
• Data Mining in Medicine (Keynote)
  2nd International Symposium on Computing in Science and Engineering (ISCSE 2011)
  Gediz University, Turkey
  Aydin, Kusadasi, Turkey - June 1 2011
• Data Mining Demystified: Real-world Knowledge Discovery with Data and Text Mining
  Faculty Research Excellence Series @ OSU Tulsa
  OSU-Tulsa Library
  Tulsa, OK - April 14 2011
• Using Advanced Analytics for Better Student Retention
  22nd Annual OSU Research Symposium
  OSU-Tulsa and OSU-CHS
  Tulsa, OK - February 25 2011
• Using Data Mining Methods to Predict Freshmen Student Attrition
  INFORMS International Conference
  INFORMS
  Austin, TX - November 7 2010
• Knowledge Discovery for Business Intelligence (Keynote)
  Knowledge and Project Management Symposium
  The Knowledge & Information Professional Association (KIPA)
  Tulsa, Oklahoma - August 5 2010
• Business Intelligence and Advanced Analytics for Real World Problems (Keynote)
  International Symposium On Computing in Science and Engineering
  Gediz University
  Aydin, Turkey - June 3 2010
• Real-world Knowledge Discovery with Data and Text Mining
  Graduate Seminar Series at OSU
  American Society for Quality
  Stillwater, Oklahoma - February 19 2009
• Data Mining Techniques for Prediction of Box Office Receipts (Keynote)
  International Conference on Sensors, Security, Software and Intelligent Systems
  Coimbatore Institute of Technology
  Coimbatore, India - January 8 2009
• Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach
  MS/OR Conference
  Istanbul, Turkey - 2008
• Predicting the Financial Success of Hollywood Movies Using an Information Fusion Approach
  28th Annual Conference on Operations Research and Industrial Engineering
  Operations Research Society
  Istanbul, Turkey - July 2 2008
• Real-world Knowledge Discovery with Data and Text Mining (Keynote)
  The 4th National Conference on Computing and Information Technology
  King Mongkut's University of Technology North Bangkok
  Bangkok, Thailand - May 23 2008
• Exploration of Feature Selection and Advanced Classification Models for High-Stakes Deception Detection
  41st Annual Hawaii International Conference on System Sciences
  University of Hawaii
  Big Island, Hawaii - January 6 2008
• Knowledge Discovery with Data and Text Mining (Keynote)
  Knowledge and Process Management Symposium
  Knowledge and Process Management Society
  Tulsa, Oklahoma - October 3 2007
• Analysis of Research Literature with Text Mining
  Data Mining Conference (M2007)
  SAS Institute
  Las Vegas, Nevada - October 1 2007
• Forecasting the Financial Success of Movies using Data Mining Techniques
  Data Mining Conference (M2007)
  SAS Institute
  Las Vegas, Nevada - October 1 2007
• Using Neural Networks to Forecast Box-Office Success
  America’s Conference on Information Systems (AMCIS)
  Association for Information Systems
  Keystone, Colorado - August 9 2007
• Knowledge Extraction from Prostate Cancer Data
  39th Annual Hawaii International Conference on System Sciences
  Kauai, HI - January 2006
• Quality in Very Large, Multiple-Source, Secondary Datasets for Data Mining Applications
  America’s Conference on Information Systems
  Omaha, Nebraska - August 2005
• A Structured View to Manufacturing Systems Modeling: An IDEFØ Perspective
  35th International Conference on Computers and Industrial Engineering
  Istanbul, Turkey - June 2005
• Knowledge Discovery with Data Mining
  Workshop on Knowledge Management Implementation and Technology
  Society of Knowledge Management
  Tulsa, Oklahoma - February 2005
• An Approach to Improve Classification Accuracy in Very Large Datasets
  America’s Conference on Information Systems
  New York, NY - August 2004
• Movie Forecast Guru
  Data Mining Workshop
  Tulsa, Oklahoma - February 2004
• IDSS-MS: An Intelligent DSS for Manufacturing Systems Managers
  Pre-ICIS Workshop on Decision Support Systems
  ICIS
  Seattle, WA - 2003
• Content manipulation in an Internet-based Travel Support System
  International Conference
  INFORMS
  Istanbul, Turkey - July 2003
• Intelligent Knowledge Discovery from Military Health Systems
  International Conference
  INFORMS
  Istanbul, Turkey - July 2003
• Agent-based Planning, Monitoring, and Re-planning System
  6th International Conference on Business Information Systems
  Colorado Springs, CO - June 2003