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Data Mining - Mehmed Kantardzic [299]

By Root 638 0
1999.

Munakata, T., Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigm, Springer, New York, 1998.

Navet, N., S. Chen, Financial Data Mining with Genetic Programming: A Survey and Look Forward, The 56th Session of the International Statistical Institute (ISI2007), Lisbon, August 2007.

Salleb-Aouissi, A., C. Christel Vrain, C. Nortet, QuantMiner: A Genetic Algorithm for Mining Quantitative Association Rules, Proceedings of the IJCAI-07, 2007, pp. 1035–1040.

Shah, S. C., A. Kusiak, Data Mining and Genetic Algorithm Based Gene/SNP Selection, Artificial Intelligence in Medicine, Vol. 31, No. 3, 2004, pp. 183–196.

Van Rooij, A. J. F., L. C. Jain, R. P. Johnson, Neural Network Training Using Genetic Algorithms, World Scientific Publ. Co., Singapore, 1996.

CHAPTER 14

Chen, S., A Fuzzy Reasoning Approach for Rule-Based Systems Based on Fuzzy Logic, IEEE Transactions on System, Man, and Cybernetics, Vol. 26, No. 5, 1996, pp. 769–778.

Chen, C. H., L. F. Pau, P. S. P. Wang, Handbook of Pattern Recognition & Computer Vision, World Scientific Publ. Co., Singapore, 1993.

Chen, Y., T. Wang, B. Wang, Z. Li, A Survey of Fuzzy Decision Tree Classifier, Fuzzy Information and Engineering, Vol. 1, No. 2, 2009, pp. 149–159.

Cox, E., Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration, Morgan Kaufmann, San Francisco, CA, 2005.

Hüllermeier, E., Fuzzy Sets in Machine Learning and Data Mining, Applied Soft Computing, January 2008.

Jang, J. R., C. Sun, Neuro-Fuzzy Modeling and Control, Proceedings of the IEEE, Vol. 83, No. 3, 1995, pp. 378–406.

Jang, J., C. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall, Inc., Upper Saddle River, NJ, 1997.

Kaudel, A., M. Last, H. Bunke, eds., Data Mining and Computational Intelligence, Physica-Verlag, Heidelberg, Germany, 2001.

Klir, G. J., B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, Inc., Upper Saddle River, NJ, 1995.

Koczy, L. T., K. Hirota, Size Reduction by Interpolation in Fuzzy Rule Bases, IEEE Transactions on System, Man, and Cybernetics, Vol. 27, No. 1, 1997, pp. 14–25.

Kruse, R., A. Klose, Recent Advances in Exploratory Data Analysis with Neuro-Fuzzy Methods, Soft Computing, Vol. 8, No. 6, 2004, pp. 381–382.

Laurent, A., M. Lesot, eds., Scalable Fuzzy Algorithms for Data Management and Analysis, Methods and Design, IGI Global, Hershey, PA, 2010.

Lee, E. S., H. Shih, Fuzzy and Multi-level Decision Making: An Interactive Computational Approach, Springer, London, 2001.

Li, H. X., V. C. Yen, Fuzzy Sets and Fuzzy Decision-Making, CRC Press, Inc., Boca Raton, FL, 1995.

Lin, T. Y., N. Cerone, Rough Sets and Data Mining, Kluwer Academic Publishers, Inc., Boston, 1997.

Maimon, O., M. Last, Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology, Kluwer Academic Publishers, Boston, MA, 2001.

Mendel, J., Fuzzy Logic Systems for Engineering: A Tutorial, Proceedings of the IEEE, Vol. 83, No. 3, 1995, pp. 345–377.

Miyamoto, S., Fuzzy Sets in Information Retrieval and Cluster Analysis, Kluwer Academic Publishers, Dordrecht, 1990.

Munakata, T., Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigm, Springer, New York, 1998.

Özyer, T., R. Alhajj, K. Barker, Intrusion Detection by Integrating Boosting Genetic Fuzzy Classifier and Data Mining Criteria for Rule Pre-Screening, Journal of Network and Computer Applications, Vol. 30, No. 1, 2007, pp. 99–113.

Pal, S. K., S. Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, John Wiley & Sons, Inc., New York, 1999.

Pedrycz, W., F. Gomide, An Introduction to Fuzzy Sets: Analysis and Design, The MIT Press, Cambridge, 1998.

Pedrycz, W., J. Waletzky, Fuzzy Clustering with Partial Supervision, IEEE Transactions on System, Man, and Cybernetics, Vol. 27, No. 5, 1997, pp. 787–795.

Yager, R. R., Targeted E-Commerce Marketing Using Fuzzy Intelligent Agents, IEEE Intelligent Systems, November/December 2000, pp. 42–45.

Yeung, D. S., E. C. C. Tsang,

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