DocumentCode
2134948
Title
Application of Data Mining in Customer Relationship Management
Author
Wu, Kun ; Liu, Feng-Ying
Author_Institution
Sch. of Manage., Tianjin Polytech. Univ., Tianjin, China
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
With economic globalization and the rapid development of e-commerce, customer relationship management (CRM) has become the core of growth of the company. Data mining, as a powerful data analysis tool, extracts critical information supporting the company to make better decisions by processing a large number of data in commercial databases. This paper introduced the basic concepts of data mining and CRM, and described the process how to use data mining for CRM. At last, the paper described the applications of several main data mining methods in CRM, such as clustering, classification and association rule.
Keywords
customer relationship management; data analysis; data mining; electronic commerce; CRM; association rule; classification method; clustering method; commercial databases; customer relationship management; data analysis tool; data mining method; e-commerce; economic globalization; Analytical models; Classification algorithms; Customer relationship management; Data mining; Databases; Decision making;
fLanguage
English
Publisher
ieee
Conference_Titel
Management and Service Science (MASS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5325-2
Electronic_ISBN
978-1-4244-5326-9
Type
conf
DOI
10.1109/ICMSS.2010.5575614
Filename
5575614
Link To Document