Multi-agent system for custom relationship management with SVMs tool

  • Authors:

  • Yanshan Xiao;Bo Liu;Dan Luo;Longbing Cao

  • Affiliations:

  • Guangzhou Asian Games Organizing Committee, Guangzhou, P.R., China;Faculty of Information Technology, University of technology Sydney, Broadway, NSW, Australia and College of Computer Science and Engineering, South China University of Technology, Guangzhou, P.R., ...;Faculty of Information Technology, University of technology Sydney, Broadway, NSW, Australia;Faculty of Information Technology, University of technology Sydney, Broadway, NSW, Australia

  • Venue:
  • KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
  • Year:
  • 2008

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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.