Title :
A Predictive Model of Churn in Telecommunications Based on Data Mining
Author :
Zan, Mo ; Shan, Zhao ; Li, Li ; Jun, Liu Ai
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
fDate :
May 30 2007-June 1 2007
Abstract :
According to the standard data mining process, CRISP-DM, the procedure of a customer chum prediction model is discussed thoroughly from the six phases of business understanding, data understanding, data preparation, modeling , evaluation and deployment. In view of the traditional ID3 algorithm insufficiency, one kind of weighting entropy thought is proposed, the ID3 algorithm is improved, then, a model is established by the improvement algorithm.
Keywords :
customer relationship management; data mining; entropy; telecommunication computing; CRISP-DM; ID3 algorithm; customer chum prediction; data mining; predictive model; telecommunications; weighting entropy; Automatic control; Business; Costs; Data engineering; Data mining; Delta modulation; Flowcharts; Information management; Predictive models; Telecommunication control; CRISP-DM; ID3; churn; data mining; decision tree;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376469
