Multi-agent system for custom relationship management with SVMs tool
Y Xiao, B Liu, D Luo, L Cao - KES International Symposium on Agent and …, 2008 - Springer
Y Xiao, B Liu, D Luo, L Cao
KES International Symposium on Agent and Multi-Agent Systems: Technologies and …, 2008•SpringerDistributed 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.
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.
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.
Springer
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