Title :
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
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;
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
DOI :
10.1109/ICMLC.2007.4370715
