DocumentCode
1866381
Title
Notice of Retraction
CRM Customer Value Based on Data Mining
Author
Xu Ling ; Song Li ; Li Jie
Author_Institution
Econ. & Manage. Coll., JiangXi Univ. of Sci. & Technol., Ganzhou, China
fYear
2010
fDate
9-10 Jan. 2010
Firstpage
32
Lastpage
37
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
At first, this paper introduces the CRM and data mining and the concept of Clustering Analysis, And then started from Customer relationship management´s core values-Customer Value, deeply expound the meaning of customer value and it is in a key position in the customer relationship management. And in-depth study CRM Customer Value Analysis by applying Data Mining Technology, The purpose of in-depth mining enterprises value customer, Classification of customer value, Enables enterprises to better development of personalized marketing strategy.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
At first, this paper introduces the CRM and data mining and the concept of Clustering Analysis, And then started from Customer relationship management´s core values-Customer Value, deeply expound the meaning of customer value and it is in a key position in the customer relationship management. And in-depth study CRM Customer Value Analysis by applying Data Mining Technology, The purpose of in-depth mining enterprises value customer, Classification of customer value, Enables enterprises to better development of personalized marketing strategy.
Keywords
customer relationship management; data mining; pattern clustering; CRM; clustering analysis; customer relationship management; customer value analysis; data mining; personalized marketing; Clustering algorithms; Conference management; Customer relationship management; Data analysis; Data mining; Educational institutions; Electronic mail; Information technology; Knowledge management; Technology management; CRM; Customer Value; Data Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location
Phuket
Print_ISBN
978-1-4244-5397-9
Type
conf
DOI
10.1109/WKDD.2010.28
Filename
5432744
Link To Document