Skip Navigation
Oklahoma State University

DURSUN DELEN

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

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

  • 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.
  • Dursun Delen, Ferhat D Zengul, Timmy C Lee, Ammar Almehmi, Nataliya V Ivankova, Tapan S Mehta, and Kazim Topuz. "Research Themes and Trends in Ten Top-ranked Nephrology Journals: A Text Mining Analysis". American Journal of Nephrology (Forthcoming).
  • Dursun Delen, Erkan Bayraktar, Kazim Sari, Ekrem Tatoglu, and Selim Zaim. "Assessing the Supply Chain Performance: A Causal Analysis". Annals of Operations Research (Forthcoming).
  • Dursun Delen, Murtaza Nasir, Ali Dag, and William Young. "Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach". Decision Sciences Journal of Innovative Education (Forthcoming).
  • Dursun Delen, Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, and Mark Lawley. "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 (Forthcoming).
  • Marcio S.M. Lima and Dursun Delen. "Predicting and Explaining Corruption Across Countries: A Machine Learning Approach". Government Information Quarterly (Forthcoming).
  • Dursun Delen, Yong-Mi Kim, and Pranay Kathuria. "Discovering Opioid Users’ Medical Comorbidities: A Data Mining Approach". Journal of Substance Use (Forthcoming).
  • 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.
  • Arafat S Aydiner, Mehmet F Acar, Selim Zaim, and Dursun Delen. "Investigating the Relationship Among Supply Chain Orientation, ERP Usage, and Knowledge Management". Vienna, Austria : Proceedings of the International Symposium for Production Research (Forthcoming).
  • Hasan H Turan, Nihat Kasap, Dursun Delen, and Huseyin Savran. "Volume discount strategies for the provider selection problem in telecommunications under uncertainty". Journal of Intelligent & Fuzzy Systems (Forthcoming).
  • Hamed M. Zolbanin, Dursun Delen, Durand Crosby, and David Wright. "A Predictive Analytics-Based Decision Support System for Drug Courts". Information Systems Frontiers (Forthcoming).
  • Rupesh Agrawal and Dursun Delen. "Clinical Intervention Research with EHR: A Big Data Analytics Approach". 25th Americas Conference on Information Systems (AMCIS 2019) (Forthcoming).
  • Dursun Delen, Beyzabur C Ervural, and Selim Zaim. "An ANP-based Methodology to Evaluate Energy Strategies". Istanbul, Turkey: Proceedings of the 25th International Conference on Multiple Criteria Decision Making (Forthcoming).
  • Dursun Delen, Kazim Topuz, and Enes Eryarsoy. "Development of a Bayesian Belief Network-based Decision Support System for Predicting and Understanding Freshmen Student Attrition". European Journal of Operational Research (Forthcoming).
  • Behrooz Davazdahemami and Dursun Delen. "Examining the Effect of Prescriptions Sequence on Developing Adverse Drug Reactions: The Case of Renal Failure in Diabetic Patients". International Journal of Medical Informatics (Forthcoming).
  • Ramesh Sharda, Dursun Delen, and Efraim Turban. (2019). "Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support". Pearson: . (1), 978-0135192016.
  • Behrooz Davazdahemami and Dursun Delen. "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 (Forthcoming).
  • Nagesh Ramesh and Dursun Delen. "Why do Enterprise Transformations Fail? Hint: It's not what you think". Journal of Enterprise Transformation (Forthcoming).
  • Amir H Zadeh, Hamed M Zolbanin, Ramesh Sharda, and Dursun Delen. "Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis". Information Systems Frontiers (Forthcoming). http://link.springer.com/article/10.1007/s10796-018-9893-0.
  • Arafat S. Aydiner, Ekrem Tatoglu, Erkan Bayraktar, Selim Zaim, and Dursun Delen. "Business Analytics and Firm Performance: The Mediating Role of Business Process Performance". Journal of Business Research (Forthcoming).
  • 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.
  • Enes Eryarsoy and Dursun Delen. "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) (Forthcoming).
  • Dursun Delen, Behrooz Davazdahemami, Enes Eryarsoy, Leman Tomak, and Abhinav Valluru. "Using Predictive Analytics to Identify Drug-Resistant Epilepsy Patients". Health Informatics Journal (Forthcoming).
  • 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.
  • 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.
  • 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.
  • 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.
  • Bhargav Konkayala, Dursun Delen, and Rupesh Agrawal. "Predicting and Explaining Inflammation in Crohn’s Disease Patients Using Predictive Analytics Methods and EMR Data". Health Informatics Journal (Forthcoming).
  • Saeed Piri, Dursun Delen, and Tieming Liu. "A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets". Decision Support Systems (Forthcoming). 0167-9236.
  • 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).
  • Cemil Kuzey, Ali Uyar, and Dursun Delen. "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 (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). "A Holistic Framework for Knowledge Management". Communications of the ACM. 56, 3. 141-145.
  • 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.
  • 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

  • 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

Editorial and Review Activities

  • AI in Business
    Editor or Co-Editor
    January 1 2019
  • Journal of Business Analytics
    Editor or Co-Editor
    January 1 2018
  • Journal of Business Research
    Senior Editor
    May 23 2016
  • International Journal of Research in Business and Social Science
    Editorial Board Member
    January 1 2016
  • Decision Sciences Journal, Decision Sciences Institute
    Senior Editor
    November 2014
  • Journal of Big Data
    Editorial Board Member
    March 21 2014
  • Decision Support Systems
    Senior Editor
    October 2013
  • Decision Analytics
    Associate Editor
    January 30 2012
  • International Journal of Information Technologies and Systems Approach (IJITSA)
    Editorial Board Member
    December 1 2010
  • International Journal of Experimental Algorithms (IJEA)
    Editor or Co-Editor
    July 27 2010
  • Journal of Emerging Technologies in Web Intelligence
    Editorial Board Member
    February 22 2009
  • International Journal of RF Technologies: Research and Applications (IJRFT)
    Associate Editor
    September 3 2008
  • International Journal of Service Sciences (IJSS)
    Editorial Board Member
    August 20 2008
  • International Journal of Intelligent Information Technologies
    Editorial Board Member
    February 15 2005
  • Journal of Information and Knowledge Management (JIKM)
    Editorial Board Member
    February 15 2005
  • International Journal of Decision Sciences & Applications
    Editor or Co-Editor
    February 1 2017 - December 31 2018
  • Expert Systems with Applications (ESWA)
    Special Issue Editor
    February 2 2010 - April 30 2011
  • Decision Support Systems (DSS)
    Special Issue Editor
    March 1 2010 - January 31 2011

Awards and Honors

  • Dr. Tim Ireland Outstanding Faculty Service Award (2018)
  • Data Science RoAD-Trip Mentor Award (NIH/USC Sponsored) (2018)
  • Data Science RoAD-Trip Mentor Award (NIH/USC Sponsored) (2017)
  • Citation of Excellence Award (2016)
  • Richard W. Poole Faculty Research Excellence Award (2016)
  • Best Research Paper Award at Business Analytics Congress (2015)
  • Richard W. Poole Faculty Research Excellence Award (2015)
  • Best Research Paper at Americas Conference on Information Systems (AMCIS) (2014)
  • Richard W. Poole Faculty Research Excellence Award (2014)
  • Regents Distinguished Teaching Award (2013)
  • Richard W. Poole Faculty Research Excellence Award (2013)
  • Fulbright Scholar Award (Senior Specialist in Analytics) (2013)
  • Greiner Teaching Award (2013)
  • Patterson Foundation Chair in Health Analytics (2013)
  • Regents Distinguished Research Award (2012)
  • Richard W. Poole Faculty Research Excellence Award (2012)
  • President’s Outstanding Faculty Research Award (2012)
  • Richard W. Poole Faculty Research Excellence Award (2011)
  • William S. Spears Chair in Business Administration (2011)
  • Elected Advisory Board Member (Teradata University Network) (2010)
  • Richard W. Poole Faculty Research Excellence Award (2010)
  • NCM2008 Conference General Co-Chair (2008)
  • Elected Advisory Board Member (Oklahoma Distance Learning Association) (2007)
  • Outstanding student evaluations (2006)
  • Outstanding student evaluations (2005)
  • Technology Innovator in Teaching Recognition (2005)
  • President of Alpha Pi Mu (Industrial Engineering Honor Society) (1994)
  • Elected member of Alpha Pi Mu (Industrial Engineering Honor Society) (1993)

Contracts, Grants, and Sponsored Research

  • Predicting Chronic Pain Development for Preventing Opioid Abuse
    NIH / Oklahoma Shared Clinical and Translational Resources
    May 1 2019
  • IBM SPSS Modeler Software Grant
    IBM
    December 10 2010
  • Enterprise Modeling Software Grant
    Knowledge Based Systems, Inc.
    August 15 2002 - December 31 2017
  • Simio Simulation Software Grant
    Simio LLC
    February 25 2010 - February 24 2017
  • Development of a Decision Support System for the Movie Industry
    The Technology Business Development Program
    November 1 2010 - May 10 2011
  • Development of a DAC Expertise Transfer System Using Knowledge Harvesting
    Defense Ammunitions Center
    April 2007 - July 2008
  • Presidential Challenge Grant
    Oklahoma State University President's Office
    July 1 2003 - July 1 2006
  • Domain Leader for Collaborative Research Grant
    Center of Excellence in Information Technology & Telecommunications
    January 1 2004 - August 30 2004

Academic, Military, and Professional Positions

  • Oklahoma State University, Regents Professor, July 2016
  • Oklahoma State University, Patterson Foundation Chair, July 2014
  • Center for Health Systems Innovation, Director of Research, January 10 2013
  • Oklahoma State University Career Services, William S. Spears Chair in Business, September 2011
  • Delen Consulting, LLC., Solution Developer, August 1 2001
  • Oklahoma State University, Professor, July 1 2012 - June 2016
  • Center for Health Systems Innovation, Executive Director (Interim) , September 1 2013 - February 1 2014
  • Sabanci University, Istanbul, Turkey, Fulbright Scholar - Specialist Program , June 24 2013 - August 4 2013
  • Oklahoma State University, Associate Professor, July 1 2007 - June 30 2012
  • Sabanci University, Istanbul, Turkey, Visiting Scholar, July 1 2009 - January 4 2010
  • Oklahoma State University, Assistant Professor, August 1 2001 - June 30 2007
  • Knowledge Based Systems, Inc., Research Scientist, January 1 1997 - August 1 2001
  • Oklahoma State University, Research Associate, August 15 1994 - December 31 1996
  • Oklahoma State University, Teaching Assistant / Instructor, August 10 1996 - December 15 1996
  • Ars-Kom Computer Consulting Co., System Analyst , December 16 1989 - July 21 1991
  • Turkish Navy, System Analyst and Computer Systems Controller, August 1 1988 - December 15 1989
  • AKSAY Maritime Shipping Co., System Analyst and COBOL Programmer, February 15 1987 - July 31 1988

Courses Taught

  • BADM 6000 (28 Semesters)
  • MSIS 5633 (16 Semesters)
  • MSIS 6300 (4 Semesters)
  • BADM 6100 (10 Semesters)
  • MSIS 3223 (23 Semesters)
  • MSIS 4010 (2 Semesters)
  • MSIS 5600 (2 Semesters)
  • MSIS 6200 (2 Semesters)
  • MSIS 5653 (21 Semesters)
  • MSIS 5900 (1 Semester)
  • MSIS 5123 (4 Semesters)

Non-Credit Instruction Taught

  • Istanbul Sehir University, Business Analytics Program, June 22 2018 - July 18 2018
  • Professional MBA, Sabanci University, July 7 2017 - July 31 2017
  • ISNetworld: Business Analytics, October 4 2016
  • ISNetworld: Business Analytics, May 25 2016
  • ISNetworld: Business Analytics, August 26 2015
  • ISNetworld: Business Analytics, September 24 2014
  • ISNetworld: Business Analytics, April 29 2014 - April 30 2014
  • Sabanci University - Business Interlligence for Managers, July 1 2013 - August 7 2013
  • CEPD - Prescriptive Analytics with Optimization and Simulation, May 22 2012 - May 22 2012
  • CEPD - Understanding Text and Web Mining, May 15 2012 - May 15 2012
  • CEPD - Real-World Knowledge Discovery with Data Mining, May 8 2012 - May 8 2012
  • Sabanci University, September 15 2009 - January 18 2010
  • Sabanci University, September 15 2009 - November 25 2009