Abstract
This paper presents adaptive linear market value functions to solve the problem of identification of customers having potential market value in targeted marketing. The performance of these methods is compared with some standard data mining methods such as simple Naive Bayes. Experiments on real world data show that the proposed methods are efficient and effective.
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References
Alsaffar, A., Deogun, J., Sever, H.: Optimal Queries in Information Filtering. In: Ohsuga, S., Raś, Z.W. (eds.) ISMIS 2000. LNCS (LNAI), vol. 1932, pp. 435–443. Springer, Heidelberg (2000)
Huang, J., Liu, C., Ou, C., Yao, Y.Y., Zhong, N.: Attribute Reduction of Rough Sets in Mining Market Value Funtions. In: Proc. 2003 IEEE/WIC International Conference on Web Intelligence (WI 2003), pp. 470–473. IEEE-CS Press, Los Alamitos (2003)
Kim, Y.S., Street, W.N.: Coil challenge 2000: Choosing and Explaining Likely Caravan Insurance Customers. Technical Report 2000-09. Sentient Machine Research and Leiden Institute of Advanced Computer Science (June 2000), http://www.wi.leidenuniv.nl/putten/library/cc20000/
Ling, C.X., Li, C.: Data Mining for Direct Marketing: Problems and Solution. In: Proc of KDD 1998, pp. 73–79 (1998)
Poel, D., Piasta, Z.: Purchase Prediction in Database Marketing with the ProbRough System. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 593–600. Springer, Heidelberg (1998)
Mitchell, T.M.: Machine Learning. China Machine Press, Beijing (2003)
Wong, S.K.M., Yao, Y.Y.: Query Formulation in Linear Retrieval Models. Journal of the American Society for Information Science 41(5), 334–341 (1990)
Wong, S.K.M., Yao, Y.Y.: Evaluation of an Adaptive Linear Model. Jounral of the American Society for Information Science 42(10), 723–730 (1991)
Witten, I., Frank, E.: Data Mining Practical Machine Learning Tools and Techniques with Java Implementations. China Machine Press, Beijing (2003)
Yao, Y.Y., Zhong, N., Huang, J., Ou, C., Liu, C.: Using Market Value Functions for Targeted Marketing Data Mining. International Journal of Pattern Recognition and Artigicial Intelligence 16(8), 1117–1131 (2002)
Zhong, N., Liu, J., Yao, Y.Y.: Web Intelligence (WI): A New Paradigm for Developing the Wisdom Web and Social Network Intelligence. In: Zhong, N., Liu, J., Yao, Y.Y. (eds.) Web Intelligence, pp. 1–16. Springer Monograph, Heidelberg (2003)
Zhong, N., Liu, J., Yao, Y.Y. (eds.): Web Intelligence. Springer, Heidelberg (2003)
Zhong, N.: Towards Web Intelligence. In: Menasalvas, E., Segovia, J., Szczepaniak, P.S. (eds.) AWIC 2003. LNCS (LNAI), vol. 2663, pp. 1–14. Springer, Heidelberg (2003)
Zhong, N., Yao, Y.Y., Liu, C., Huang, J., Ou, C.: Data Mining for Targeted Marketing. In: Intelligent Technologies for Information Analysis, Springer, Heidelberg (2004)
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Huang, J., Zhong, N., Liu, C., Yao, Y. (2004). Adaptive Linear Market Value Functions for Targeted Marketing. In: Tsumoto, S., Słowiński, R., Komorowski, J., Grzymała-Busse, J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science(), vol 3066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25929-9_94
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DOI: https://doi.org/10.1007/978-3-540-25929-9_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22117-3
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