Mehmet Kaya, Reda Alhajj Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules. [Citation Graph (0, 0)][DBLP] ADMA, 2006, pp:64-71 [Conf]
Mehmet Karaköse, Mehmet Kaya, Erhan Akin Design of a Fuzzy Controller Using a Genetic Algorithm for Stator Flux Estimation. [Citation Graph (0, 0)][DBLP] International Conference on Computational Science (2), 2001, pp:272-280 [Conf]
Mehmet Kaya, Reda Alhajj Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering. [Citation Graph (0, 0)][DBLP] ICDM, 2003, pp:561-564 [Conf]
Mehmet Kaya, Reda Alhajj ntegrating Multi-Objective Genetic Algorithms into Clustering for Fuzzy Association Rules Mining. [Citation Graph (0, 0)][DBLP] ICDM, 2004, pp:431-434 [Conf]
Mehmet Kaya, Reda Alhajj Reinforcement Learning in Multiagent Systems: A Modular Fuzzy Approach with Internal Model Capabilities. [Citation Graph (0, 0)][DBLP] ICTAI, 2002, pp:469-0 [Conf]
Mehmet Kaya, Reda Alhajj Multi-Objective Genetic Algorithm Based Approach for Optimizing Fuzzy Sequential Patterns. [Citation Graph (0, 0)][DBLP] ICTAI, 2004, pp:396-400 [Conf]
Mehmet Kaya, Reda Alhajj Multi-objective Genetic Algorithm Based Method for Mining Optimized Fuzzy Association Rules. [Citation Graph (0, 0)][DBLP] IDEAL, 2004, pp:758-764 [Conf]
Mehmet Kaya, Reda Alhajj Fuzzy OLAP Association Rules Mining Based Novel Approach for Multiagent Cooperative Learning. [Citation Graph (0, 0)][DBLP] IEA/AIE, 2004, pp:56-65 [Conf]
Mehmet Kaya, Reda Alhajj Novel Approach to Optimize Quantitative Association Rules by Employing Multi-objective Genetic Algorithm. [Citation Graph (0, 0)][DBLP] IEA/AIE, 2005, pp:560-562 [Conf]
Mehmet Kaya, Reda Alhajj Genetic algorithms based optimization of membership functions for fuzzy weighted association rules mining. [Citation Graph (0, 0)][DBLP] ISCC, 2004, pp:110-115 [Conf]
Mehmet Kaya, Reda Alhajj Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining. [Citation Graph (0, 0)][DBLP] Appl. Intell., 2006, v:24, n:1, pp:7-15 [Journal]
Ahmet Arslan, Mehmet Kaya Determination of fuzzy logic membership functions using genetic algorithms. [Citation Graph (0, 0)][DBLP] Fuzzy Sets and Systems, 2001, v:118, n:2, pp:297-306 [Journal]
Mehmet Kaya Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules. [Citation Graph (0, 0)][DBLP] Soft Comput., 2006, v:10, n:7, pp:578-586 [Journal]
Mehmet Kaya, Reda Alhajj Fuzzy OLAP association rules mining-based modular reinforcement learning approach for multiagent systems. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:2, pp:326-338 [Journal]
Mehmet Kaya, Reda Alhajj A novel approach to multiagent reinforcement learning: utilizing OLAP mining in the learning process. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:4, pp:582-590 [Journal]
Mehmet Kaya Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences. [Citation Graph (0, 0)][DBLP] IDA, 2007, pp:320-331 [Conf]
A Novel Approach to Extract Structured Motifs by Multi-Objective Genetic Algorithm. [Citation Graph (, )][DBLP]
Hiding Fuzzy Association Rules in Quantitative Data. [Citation Graph (, )][DBLP]
A Multi-Objective Genetic Algorithm for Discovering Non-Dominated Motifs in DNA Sequences. [Citation Graph (, )][DBLP]
Wrapping VRXQuery with Self-Adaptive Fuzzy Capabilities. [Citation Graph (, )][DBLP]
Online mining of fuzzy multidimensional weighted association rules. [Citation Graph (, )][DBLP]
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