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K.j. Kim, H. Ahn Expert Systems with Applications 34(2008)1200-1209 Bauer, R. .(1994). Genetic algorithns and investment New Kuo, R.J., An, Y L, Wang, H.s,& Chung, w.J. (2006). Integration of York: John sons self-organizing feature maps neural network and genetic K-means Bradley, P S,& Fayyad, U. M.(1998). Refining initia algorithm for market segmentation. Expert Systems with Applications neans clustering. In Proceedings of the 15th international conference on O(2),313-324 machine learning(pp 91-99) Kuo. R.J. Chang. K. Chien. S. Y grano Cho, Y.H.& Kim, JK.(2004). Application of Web usage mining and organizing feature maps and genetic-algorithm-based clustering product taxonomy to collaborative recommendations in e-commerce. method for market segmentation. Journal of Organizational Computing Expert Systems with Applications, 26(2), 233-246 and Electronic Commerce, 14(1). 43-60 Cho, Y.H., Kim, J K,& Kim, S H(2002). A personalized recommender Kuo, R.J., Liao, J. L,& Tu, C.(2005). Integration of ART2 neural system based on Web usage mining and decision tree induction Expe Systems with Applications, 23(3), 329-342 Systems, 40(2) Davis, L.(1994). Handbook of genetic algorithms. New York: Van Nostrand Reinhold Lleti, R, Ortiz, M. C, Sarabia, L. A,& Sanchez, M. S(2004). Selecting Gehrt, K. C, Shim, S(1998). A shopping orientation segmentation of variables for k-means cluster analysis by using a genetic algorithm that French consumers: implications for catalog marketing. Journal of optimises the silhouettes. Analytica Chimica Acta, 515(1), 87-1 Interactice Marketing, 12(4), 34-46 Maulik, U,& Bandyopadhyay, S.(2000). Genetic algorithm-based Good, N, Schafer, J. B. Konstan, J. A, Borchers, A. Sarwar, B. clustering technique. Pattern Recognition, 33(9). 1455-1465 Herlocker, J.,& riedl, J.(1999). Combining collaborative filtering Michalewicz, Zb. (1996). Genetic algorithms data structures evolution rith personal agents for better recommendations. 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The cluster-indexing method for case-based Velido, A, Lisboa, P.J. G,& Meehan, K.(1999). Segmentation of the easoning using self-organizing maps and learning vector quantization on-line shopping market using neural networks. Expert Systems with for bond rating cases. Expert Systems Applications, 21(3 Applications, 17(4), 303-314 147-156 Wedel, M., Kamakura, w.A(1998). Market segmental Kohonen, T.(1982). Self-organized formation of topologically correct and methodological foundations. Boston: Kluwer Academic Publishers feature maps. Biological Cybernetics, 43(1), 59-69 Wong, F,& Tan, C(1994). Hybrid neural, genetic and fuzzy systems. In Konstan, J. A. Miller. B. N, Maltz, D, Herlocker, J. L, Gordon. L.R G. J. Deboeck(Ed. ) Trading on the edge(pp 245-247). New York: riedl, J.(1997). GroupLens: applying collaborative filtering to John Wiley Sons Usenet news. Commumications of ACM, 40(3), 77-87Bauer, R. J. (1994). Genetic algorithms and investment strategies. New York: John Wiley & Sons. 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Kim, K.-S., & Han, I. (2001). The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases. Expert Systems with Applications, 21(3), 147–156. Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43(1), 59–69. Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R., & Riedl, J. (1997). GroupLens: applying collaborative filtering to Usenet news. Communications of ACM, 40(3), 77–87. Kuo, R. J., An, Y. L., Wang, H. S., & Chung, W. J. (2006). Integration of self-organizing feature maps neural network and genetic K-means algorithm for market segmentation. Expert Systems with Applications, 30(2), 313–324. Kuo, R. J., Chang, K., & Chien, S. Y. (2004). Integration of self￾organizing feature maps and genetic-algorithm-based clustering method for market segmentation. Journal of Organizational Computing and Electronic Commerce, 14(1), 43–60. Kuo, R. J., Liao, J. L., & Tu, C. (2005). Integration of ART2 neural network and genetic K-means algorithm for analyzing Web browsing paths in electronic commerce. Decision Support Systems, 40(2), 355–374. Lletı´, R., Ortiz, M. C., Sarabia, L. A., & Sa´nchez, M. S. (2004). Selecting variables for k-means cluster analysis by using a genetic algorithm that optimises the silhouettes. Analytica Chimica Acta, 515(1), 87–100. Maulik, U., & Bandyopadhyay, S. (2000). Genetic algorithm-based clustering technique. Pattern Recognition, 33(9), 1455–1465. Michalewicz, Zb. (1996). Genetic algorithms + data structures = evolution programs (3rd ed.). Berlin: Springer-Verlag. Michaud, P. (1997). Clustering techniques. Future Generation Computer Systems, 13(2–3), 135–147. Murthy, C. A., & Chowdhury, N. (1996). In search of optimal clusters using genetic algorithms. Pattern Recognition Letters, 17(8), 825–832. Pazzani, M. J. (1999). A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5–6), 393–408. Pena, J. M., Lozano, J. A., & Larranaga, P. (1999). An empirical comparison of four initialization methods for the K-means algorithm. Pattern Recognition Letters, 20(10), 1027–1040. Resnick, P., Iacovou, N., Suchak, M., & Bergstrom, P. (1994). Group￾Lens: an open architecture for collaborative filtering of netnews. In Proceedings of the ACM conference on computer supported cooperative work (pp. 175–186). Shin, K. S., & Han, I. (1999). Case-based reasoning supported by genetic algorithms for corporate bond rating. Expert Systems with Applica￾tions, 16(2), 85–95. Velido, A., Lisboa, P. J. G., & Meehan, K. (1999). Segmentation of the on-line shopping market using neural networks. Expert Systems with Applications, 17(4), 303–314. Wedel, M., & Kamakura, W. A. (1998). Market segmentation: concepts and methodological foundations. Boston: Kluwer Academic Publishers. Wong, F., & Tan, C. (1994). Hybrid neural, genetic and fuzzy systems. In G. J. Deboeck (Ed.), Trading on the edge (pp. 245–247). New York: John Wiley & Sons. K.-j. Kim, H. Ahn / Expert Systems with Applications 34 (2008) 1200–1209 1209
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