Apply Support Vector Machine for CRM Problem

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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Bibliographische Detailangaben
Hauptverfasser: Bo Liu, Zhi-Feng Hao, Jie Lu, Shou-Qiang Liu
Format: Tagungsbericht
Sprache:eng
Schlagworte:
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
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Beschreibung
Zusammenfassung: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.
ISSN:2160-133X
DOI:10.1109/ICMLC.2007.4370715