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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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
Online ISBN: 978-3-540-25929-9
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