Abstract
Distributed data mining in the CRM is to learn available knowledge from the customer relationship so as to instruct the strategic behavior. In order to resolve the CRM in distributed data mining, this paper proposes the architecture of distributed data mining for CRM, and then utilizes the support vector machine tool to separate the customs into several classes and manage them. In the end, the practical experiments about one Chinese company are conducted to show the good performance of the proposed approach.
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Xiao, Y., Liu, B., Luo, D., Cao, L. (2008). Multi-agent System for Custom Relationship Management with SVMs Tool. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_34
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DOI: https://doi.org/10.1007/978-3-540-78582-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78581-1
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