DocumentCode
3517020
Title
Data Mining Applications in Customer Churn Management
Author
KhakAbi, Sahand ; Gholamian, Mohammad R. ; Namvar, Morteza
Author_Institution
Ind. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2010
fDate
27-29 Jan. 2010
Firstpage
220
Lastpage
225
Abstract
According to the lack of a comprehensive literature review in the area of application of data mining in customer churn management, which has become a central issue in customer relationship management nowadays, this paper tackles to provide a brief review of researches in that field from two perspectives: techniques used and statistical reports. From the first point of view, a taxonomy based on the models exploited in papers is provided. The latter perspective gives insight into the trend, place and frequency of publications in the mentioned area. Also some of recent papers are summarized for the sake of interested readers. It is suggested that this paper will point out the gaps and strengths in this research issue, which might be of interest for contributors and researches and business managers respectively.
Keywords
customer relationship management; data mining; customer churn management; customer relationship management; data mining applications; Conference management; Customer relationship management; Data mining; Engineering management; Frequency; Industrial engineering; Intelligent systems; Neural networks; Taxonomy; Technology management; churn management; data mining techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, Modelling and Simulation (ISMS), 2010 International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4244-5984-1
Type
conf
DOI
10.1109/ISMS.2010.49
Filename
5416090
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