Apply Support Vector Machine for CRM Problem

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 leanin...

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Hauptverfasser: Bo Liu, Zhi-Feng Hao, Jie Lu, Shou-Qiang Liu
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creator Bo Liu
Zhi-Feng Hao
Jie Lu
Shou-Qiang Liu
description 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.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects CRM
Customer
Customer relationship management
Cybernetics
Data mining
Educational institutions
Machine learning
Machine learning algorithms
Management
Relationship
Risk management
Statistical analysis
Support vector machine
Support vector machine classification
Support vector machines
title Apply Support Vector Machine for CRM Problem
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