APPLY SUPPORT VECTOR MACHINE FOR CRM PROBLEM

摘要：

Data mining in the CRM aiming at learning available knowledge from the customer relationship by machine learning or statistical method to instruct the strategic behavior so that obtain the most profit.In recent years, Support vector machine (SVMs) has been proposed as a power tool in machine leaning and data mining.This paper applies the SVMs to resolve the practical CRM problem in a company.The final results report the good general performance of SVMs for CRM problem.

关键词： Customer Relationship Management (CRM) Support vector machine Machine learning

作者: BO LIU ZHI-FENG HAO JIE LU SHOU-QIANG LIU

作者单位: College of Computer Science and Engineering, South China University of Technology, Guangzhou, 510641 College of Computer Science and Engineering, South China University of Technology, Guangzhou, 510641 Faculty of Information Technology, University of Technology, Sydney, PO Box 123, NSW 2007, Australia

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3288-3292

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）