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Data Mining in Retail and Banking

    Predictive modeling : sales forecasting in the presence of promotions, and with large number of analog time series; customer relationship management

   Effective use of data for data mining models - training set design: observation and feature selection

Pharmaceutical Marketing and Policy Evaluation

    The role of the payer and its intermediary-the PBM in the USA; the role of the pharmacist in Turkey;

    The effect of policies on outcomes


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Cross-Selling Investment Products with a Win-Win Perspective in Portfolio Optimization " , Ö Gür Ali, Y. Akcay, S. Sayman, Operations Research, forthcoming, 2016.

"Multi-Period Ahead Forecasting with Residual Extrapolation and Information Sharing – Leveraging Multitude of Retail Series " , Ö Gür Ali, E. Pinar, International Journal of Forecasting 32 (2), 502-517, 2016.

"Dynamic Churn Prediction Framework with More Effective Use of Rare Event Data: The Case of Private Banking",  Ö Gür Ali, U. Arıtürk, Expert Systems with Applications, 41(17),7889-7903, 2014.

"Driver Moderator Method for Retail Sales Prediction", Ö Gür Ali, International Journal of Information Technology & Decision Making, 12 (6), 1261-1286, 2013.

"Selecting Rows and Columns for Training Support Vector Regression Models with Large Retail Datasets", Ö Gür Ali, K. Yaman, European Journal of Operational Research, Vol 266 (3),  p 471-480, 2013.

"How Removing Prescription Drugs from Reimbursement Lists Increases the Pharmaceutical Expenditures for Alternatives",  Ö Gür Ali, A. B Topaler, European Journal of Health Economics, Vol 6, Issue 12, p553-62, 2011.

"Pharma rebates, pharmacy benefit managers and employer outcomes", Health Care Management Science, Vol 13 (4), pp 281-293, 2010.

"SKU Demand Forecasting in the Presence of Promotions", Ö. Gür Ali, S. Sayın, T. van Woensel, J. Fransoo, Expert Systems with Applications, Vol. 36 Issue 10, p12340-12348 2009.

“Design Quality and Robustness with Neural Networks“, Ö. Gür Ali, Y. Chen, in IEEE Transactions on Neural Networks, Vol 10, pp 1518-1527, 1999

"Reengineering Claims Processing Using Probabilistic Inductive Learning" R.G. Arunasalam, J.T. Richie, W. Egan, O. Gur-Ali, W.A. Wallace, IEEE Transactions on Engineering Management, Vol 46, pp 335-345, Aug 1999

“Bridging the Gap Between Business Objectives and Parameters of Data Mining Algorithms", Ö. Gür Ali, W.A. Wallace, Decision Support Systems, Special Issue on Data Mining, Vol 21, pp 3-15, 1997

“Classifying Delinquent Customers for Credit Collections: An Application of Probabilistic Inductive Learning”, Ö. Gür Ali and W. A. Wallace in Special Issue on Uncertainty in AI, Int. Journal of Human- Computer Studies, Vol 42, pp 633-646, 1995

“Induction of Rules Subject to a Quality Constraint: Probabilistic Inductive Learning” Ö. Gür Ali and W.A. Wallace, IEEE Trans. on Knowledge and Data Engineering, Vol 5, pp979-984, 1993

“Robust Estimation Methods for Exponential data: A Monte Carlo Comparison”, T.R. Willemain, Ö. Gür Ali et al. Communications in Statistics: Simulation and Computation, 1993

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"How should the employer contract with the PBM? Active Learning applied to Health Economics", in Proceedings of the 5td INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2010), Austin October 2010.

"Driver-Moderator Method for SKU Sales Forecasting", Özden Gür Ali, in Proceedings of ICDM 2009.

"Firm-driven Substitution in the Presence of Quantity Discounts", Ayşe Başak Çizmeci, Özden Gür Ali, in Proceedings of the 15th International Annual EurOMA Conference, June 2008.

"A New Gravity Model With Variable Distance Decay", Müge Sandıkcıoğlu Özden Gür Ali Serpil Sayın, in Proceedings of Eur-Opt 2008, Continuous Optimization and Knowledge Based Technologies, May 2008.

“Profit Maximizing Pharmacy Decision and Pharmacy Discounts in Turkey”, B. Çavdaroğlu, Ö Gür Ali, in Proceedings of the 14th International Annual EurOMA Conference, June 2007.

“Integrating and Mining Distributed Customer Databases”, I.Haimowitz, Ö. Gür Ali, H. Schwarz, in Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97) D. Heckerman, H. Mannila, D. Pregibon (Eds.), pp 179-182, August 1997

“Quantifying Risks Involved in Recycling Plastics”, Ö. Gür Ali, R. Bopp, F. Faltin, Proceedings of the Society of Plastics Engineers 55th Annual Technical Conference ANTEC, pp3123-3127, 1997.

“Are We Losing Accuracy While Gaining Confidence In Induced Rules - An Assessment Of PrIL”, Ö. Gür Ali and  W. Wallace, in Proc. First Intl. Conf. Knowledge Discovery and Data Mining (KDD-95), U. Fayyad, R. Uthurusamy (Eds.), pp 9-14, 1995

“Designing Experiments for Learning with Neural Networks”, Ö. Gür Ali, Y. Chen, A. Neff, Conference on Automated Learning and Discovery, CMU, June 1998.

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"Evaluation Techniques in Data Mining", Ö. Gür Ali; in Encyclopedia of Statistics in Quality and Reliability,  F. Ruggeri, R. Kenett, and F. W. Faltin (eds); J. Wiley & Sons, Chichester, pp 488-494, 2007


“Practical Change Point Estimation”, Ö. Gür Ali, F.W: Faltin and N. Doganaksoy, GE Corporate Research and Development Technical Report 97CRD126, October 1997. 



“Method for evaluating moldability characteristics of a plastic resin in an injection molding process”, United States Patent 5,914,884, Gur Ali et al, June 22, 1999

“System and method for estimating a change point time in a manufacturing process”, United States Patent 5,841,676 Ali , et al., November 24, 1998

“Driver moderator method for retail sales prediction”, US 8738421 B1 Ozden Gur Ali., May 27, 2014

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