DocumentCode :
2191188
Title :
Research Method of Customer Churn Crisis Based on Decision Tree
Author :
Ma Hongxia ; Qin Min
Author_Institution :
Coll. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper tells the basic concept of customer churn crisis. It provides a method of customer churn crisis based on decision tree. Also it describes how to apply the decision tree method analyzing the basic business customer information to get the characteristics of the customer churn and customer churn rules. Based on this analysis, businesses can improve customer relations in a targeted manner and avoid customer churn. The analysis experiment of customer churn risks on decision tree is illustrated deliberately based on the data from an enterprise, and experimental results are discussed. The experiment results show that the method is feasible and effective.
Keywords :
customer relationship management; data mining; decision trees; marketing data processing; business customer information; customer churn crisis; customer relations; data mining; decision tree; Classification algorithms; Classification tree analysis; Companies; Customer relationship management; Data mining; Decision making; Decision trees; Information analysis; Information theory; Machine learning algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5305403
Filename :
5305403
Link To Document :
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