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Mehmet Kaya: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Reda Alhajj, Mehmet Kaya
    Multiagent Association Rules Mining in Cooperative Learning Systems. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:75-87 [Conf]
  2. 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]
  3. Erkan Duman, Mehmet Kaya, Erhan Akin
    A Multi-agent Fuzzy-Reinforcement Learning Method for Continuous Domains. [Citation Graph (0, 0)][DBLP]
    CEEMAS, 2005, pp:306-315 [Conf]
  4. Mehmet Kaya, Reda Alhajj, Faruk Polat, Ahmet Arslan
    Efficient Automated Mining of Fuzzy Association Rules. [Citation Graph (0, 0)][DBLP]
    DEXA, 2002, pp:133-142 [Conf]
  5. Reda Alhajj, Mehmet Kaya
    Employing OLAP Mining for Multiagent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:759-768 [Conf]
  6. Mehmet Kaya, Reda Alhajj
    Utilizing Fuzzy OLAP Mining Towards Novel Approach to Multiagent Modular Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IAT, 2004, pp:197-203 [Conf]
  7. Mehmet Kaya, Reda Alhajj
    Multiagent Reinforcement Learning Using OLAP-Based Association Rules Mining. [Citation Graph (0, 0)][DBLP]
    IAT, 2003, pp:584-587 [Conf]
  8. 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]
  9. Reda Alhajj, Mehmet Kaya
    Integrating Fuzziness into OLAP for Multidimensional Fuzzy Association Rules Mining. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:469-472 [Conf]
  10. 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]
  11. 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]
  12. Mehmet Kaya, Ahmet Arslan
    Parallel and Distributed Multi-Agent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICPADS, 2001, pp:437-444 [Conf]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. Mehmet Kaya, Reda Alhajj
    Online Mining of Weighted Fuzzy Association Rules. [Citation Graph (0, 0)][DBLP]
    ISCIS, 2003, pp:308-315 [Conf]
  20. Mehmet Kaya, Reda Alhajj
    Effective Mining of Fuzzy Multi-Cross-Level Weighted Association Rules. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:399-408 [Conf]
  21. Mehmet Kaya, Reda Alhajj
    Integrating Fuzziness with OLAP Association Rules Mining. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:353-368 [Conf]
  22. 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]
  23. 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]
  24. Mehmet Kaya, Reda Alhajj
    Genetic algorithm based framework for mining fuzzy association rules. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:3, pp:587-601 [Journal]
  25. 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]
  26. 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]
  27. 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]
  28. Mehmet Kaya
    Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:320-331 [Conf]

  29. A Novel Approach to Extract Structured Motifs by Multi-Objective Genetic Algorithm. [Citation Graph (, )][DBLP]


  30. Hiding Fuzzy Association Rules in Quantitative Data. [Citation Graph (, )][DBLP]


  31. A Multi-Objective Genetic Algorithm for Discovering Non-Dominated Motifs in DNA Sequences. [Citation Graph (, )][DBLP]


  32. Wrapping VRXQuery with Self-Adaptive Fuzzy Capabilities. [Citation Graph (, )][DBLP]


  33. Online mining of fuzzy multidimensional weighted association rules. [Citation Graph (, )][DBLP]


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