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Research on the Amount of Customers in Telecom Package Preview Based on Data Mining

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3 Author(s)
Jia Danhua ; Coll. of Econ. & Manage., Nanjing Univ. of Posts & Telecommun., Nanjing, China ; Zhao Xiaogeng ; Wang Runrun

Using statistics and data mining methods, this paper researched the prediction method of the amount of the new customers and the transfer customers in telecom package preview. The amount of new customers could be predicted according to time series method based the historical data of a similar package, and the amount of transfer customers could be predicted with the finding to the rules of customer change service packages through data mining. Finally, a case study of a telecom operator was carried out in the paper. Linear Regression analysis and Exponential Smooth method were used and compared in the establishment of prediction model of amount of the new customers, and Decision Tree algorithm was used to find the rules of customer change service packages.

Published in:

Computer Science & Service System (CSSS), 2012 International Conference on

Date of Conference:

11-13 Aug. 2012