Welcome to Ayhan's Portal

Professor, Gebze Technical University. Founder, Verikar Software

About Me

Here is a brief information about myself. I completed my Ph.D. in the Department of Decision Sciences and Engineering Systems at the Rensselaer Polytechnic Institute of Troy, NY. I was born in Erzincan, Turkey and got my bachelor's degree in Industrial Engineering at Istanbul Technical University. I am a Data Miner by training. I am particularly interested in Support Vector Machines as a machine learning method.


Under supervision of my advisor, Kristin P. Bennett, I defended my thesis "Learning with Capacity Control: A Semi-Supervised Approach." in June'2000. Please click here to download my thesis. Before departing from RPI, I also worked as a Post-Doc in an NSF funded project named "The Automated Design and Discovery of Novel Pharmaceuticals using Semi-Supervised Learning in Large Molecular Databases". I am a member of the faculty at the Department of Industrial Engineering at Gebze Technical University, Turkey as a professor. You can access my CV by clicking!


I was PI on a research project titled "Data-Mining Driven Markdown Management System Prototype for the Turkish Apparel Industry" funded by The Scientific and Research Council of Turkey (TUBITAK) with my colleagues Ufuk Kula, Tankut Atan and Gurdal Ertek.


Hope you enjoy my homepage. You may also access my Google Scholar page and DBLP page. I founded Verikar Software in 2015. We provide solutions for Data Mining and Optimization problems in industrial scale. You can email your comments to ademiriz at gtu dot edu dot tr.


Merchandising Sözlüğü ve Perakende Planlama kitabına ulaşabilirsiniz.



Research Papers

Bennett, K.P., Demiriz, A.. Semi-supervised Support Vector Machines. In Advances in Neural Information Processing Systems (NIPS), M. S. Kearns, S. A. Solla, and D. A. Cohn Eds. 11 Cambridge, 1999. MIT Press. Pp.368-374 (PDF). Related AMPL Model with sample data.


Demiriz, A., Bennett, K.P., Embrechts, M.J.. Semi-supervised Clustering using Genetic Algorithms. In Proceedings of ANNIE'99 (Artificial Neural Networks in Engineering), November, 1999. (PDF).


Demiriz, A., Bennett, K.P.. Optimization Approaches to Semi-supervised Learning. In "Complementarity: Applications, Algorithms and Extensions". M. C. Ferris, O. L. Mangasarian and J.-S. Pang, editors. Pages 121-141. Kluwer Academic Publishers. Boston 2001. (PDF).


Bennett, K.P., Demiriz, A., Shawe-Taylor, J.. A Column Generation Algorithm for Boosting. In Proceedings of Seventeenth International Conference on Machine Learning (ICML'2000), Pat Langley Editor, Morgan Kaufmann, San Francisco, 2000, pp. 65-72. (PDF).


Demiriz, A., Bennett, K.P., Shawe-Taylor, J.. Linear Programming Boosting via Column Generation. Special Issue of Journal of Machine Learning on Support Vector Machines and Kernel Methods, N. Cristianini, C. Campbell and C. Burges Eds. Volume 46:225-254, 2002. Kluwer Academic Publishers. (PDF).


Bradley, P.S., Bennett, K.P., Demiriz, A.. Constrained K-Means Clustering. Microsoft Research Technical Report 2000-65, May 2000. (PDF).


Demiriz, A., Bennett, K.P., Embrechts, M.J.. A Genetic Algorithm Approach for Semi-supervised Clustering. Journal of Smart Engineering System Design, 4:35-44, 2002. Taylor & Francis. (PDF).


Raetsch, G., Demiriz, A., Bennett, K.P.. Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Special Issue of Journal of Machine Learning on New Methods for Model Selection and Model Combination, Y. Bengio and D. Schuurmans Eds. Volume 48:193-221, 2002. Kluwer Academic Publishers.(PDF).


Demiriz, A., Bennett, K. P., Breneman, C. M., Embrechts, M. J.. Support Vector Machine Regression in Chemometrics. In Computing Science and Statistics: Proceedings of Interface, Volume 33, 2001. (PDF).


Bennett, K. P., Demiriz, A., Maclin, R.. Exploiting Unlabeled Data in Ensemble Methods. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, David Hand, Daniel Keim, and Raymond Ng, Editors, pp. 289-296, ACM Press, Edmonton, CANADA, July, 2002. (PDF).


Demiriz, A.. webSPADE: A parallel sequence mining algorithm to analyze web log data. In Proceedings of Second IEEE International Conference on Data Mining, pages 755-758. Maebashi, Japan (2002). (PDF). Full version (PDF).


Demiriz, A.. Analyzing Service Order Data using Association Mining. Technical Report (2002). (PDF).


Demiriz, A.. Enhancing Product Recommender Systems on Sparse Binary Data. Journal of Data Mining and Knowledge Discovery, Volume 9, Issue 2, September 2004, Pages 147 -170 (PDF).


Demiriz, A.. ASIPATH: A Simple Path Mining Algorithm. In Proceedings of the 16th IASTED International Conference on Parallel And Distributed Computing And Systems (PDCS 2004) November 9-11, 2004 Cambridge, MA, USA. Pp. 638-644. (PDF).


Demiriz, A.. On Analyzing Web Log Data: A Parallel Sequence Mining Algorithm. In "New Generation of Data Mining Applications", Jozef Zurada and Mehmed Kantardzic. Pages 469-494. Wiley-IEEE Press (February, 2005). (PDF). An earlier draft.


Demiriz, A., Akbilek, N.. A Framework for Balanced Service and Cross Selling by Using Queuing Science. In Proceedings of Fifth International Symposium on Intelligent Manufacturing Systems, Sakarya, Turkey. 2006. (PDF).


Ertek, G., Demiriz, A.. A Framework for Visualizing Association Mining Results. In Proceedings of International Symposium on Computer and Information Sciences (Springer LNCS Series), Istanbul, 2006. (PDF).


Demiriz, A., Bennett, K. P., Bradley, P. S.. Using Assignment Constraints To Avoid Empty Clusters in K-Means Clustering. In "Constrained Clustering: Advances in Algorithms, Theory, and Applications" (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by Sugato Basu, Ian Davidson, Kiri Wagstaff (Editors). 2008. (PDF).


Demiriz, A.. Ranking Data with Graph Laplacian. In Proceedings of International Conference on Multivariate Statistical Modelling & High Dimensional Data Mining. Kayseri, TURKEY. 2008. (PDF).


Demiriz, A., Kula, U., and Akbilek, N.. A Framework for Balanced Service and Cross-Selling by Using Queuing Science. Journal of Intelligent Manufacturing, Volume 20 Number 2 : 249-257, April 2009. An earlier draft (PDF).


Demiriz, A.. Solving Traveling Salesman Problem by Ranking. In Proceedings of The 18th Annual Belgian-Dutch Conference on Machine Learning (Benelearn 09), Tilburg, The Netherlands. May 2009. (PDF).


Demiriz, A., Cihan, A. Kula, U.. Analyzing Price Data to Determine Positive and Negative Product Associations. In Proceedings of 16th International Conference on Neural Information Processing Bangkok, Thailand. December, 2009. Pp. 846-855.(PDF).


Demiriz, A., Ertek, G., Atan, T., and Kula, U.. Re-Mining Positive and Negative Association Mining Results. In Proceedings of 10th Industrial Conference on Data Mining ICDM'2010 Berlin, Germany. July, 2010. Pp. 101-114.(PDF).


Demiriz, A., Ekizoglu, B., and Kula, U.. Clustering Products under Pairwise Positive and Negative Association Constraints in Retailing. To be published in Proceedings of ANNIE 2010 in St. Louis, Mo., Nov. 1-3, 2010.(PDF). Related IBM ILOG Model with sample data.


Demiriz, A., Ertek, G., Atan, T., and Kula, U.. Re-Mining Item Associations: Methodology and a Case Study in Apparel Retailing. Journal of Decision Support Systems, doi:10.1016/j.dss.2011.08.004 ,2011. An earlier draft (PDF).


Ertek, G., Demiriz, A., and Cakmak, F.. Linking Behavioral Patterns to Personal Attributes through Data Re-Mining. In Behavior Computing: Modeling, Analysis, Mining and Decision, Eds. Longbing Cao, Philip S. Yu. Springer. 2012.(PDF).


Demiriz, A., Bagherzadeh, N., and Alhussein, A.. CPNoC: On Using Constraint Programming in Design of Network-on-Chip Architecture. In Proceedings of Parallel, Distributed and Network-Based Processing (PDP), 2013, 21st Euromicro International Conference pp 486-493, Belfast NI UK. (PDF). Sample Model, Data and Experiments.


Demiriz, A., Sen, S., and Gokcegoz, F.. Analyzing Classified Listings at an e-Commerce Site by Using Survival Analysis. In Proceedings of EuroTecS, European Conference of Technology and Society, 2013, Sarajevo, Bosnia-Herzegovina, June 2013.(PDF).


Demiriz, A., Bagherzadeh, N., and Alhussein, A.. Using Constraint Programming for the Design of Network-on-Chip Architectures. Journal of Computing, 2013. doi:10.1007/s00607-013-0359-4. Sample Model, Data and Experiments.


Demiriz, A. and Bagherzadeh, N.. On Heterogeneous Network-on-Chip Design Based on Constraint Programming, 6th International Workshop on Network on Chip Architectures (NoCArc'13), Davis, CA, USA, December 8, 2013.(PDF).


Demiriz, A., Bagherzadeh, N. and Ozturk, O.. Voltage Island Based Heterogeneous NoC Design Through Constraint Programming. Journal of Computers & Electrical Engineering. doi:10.1016/j.compeleceng.2014.08.005, 2014. Sample Model and Data.


Demiriz, A., Demand Forecasting based on Pairwise Item Associations, In Proceedings of Complex Adaptive Systems Philadelphia, PA November 3-5, 2014.


Contact





Ayhan Demiriz,

Professor, Department of Industrial Engineering,

Gebze Technical University,

41400 Gebze, Kocaeli, TURKEY


Phone

Office: +90 262 605-2659

Fax:     +90 262 605-2670

Email:

ademiriz at gtu dot edu dot tr

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