Apply Support Vector Machine for CRM Problem

Author

Liu, Bo ; Hao, Zhi-Feng ; Lu, Jie ; Liu, Shou-Qiang

Author_Institution

South China Univ. of Technol., Guangzhou

Volume

6

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

3288

Lastpage

3292

Abstract

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.

Keywords

customer relationship management; data mining; learning (artificial intelligence); statistical analysis; support vector machines; CRM problem; customer relationship management; data mining; machine learning; statistical method; support vector machine; Customer relationship management; Cybernetics; Data mining; Educational institutions; Machine learning; Machine learning algorithms; Risk management; Statistical analysis; Support vector machine classification; Support vector machines; (CRM); Customer; Machine learning; Management; Relationship; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370715

Filename

4370715