Telecommunications Science ›› 2016, Vol. 32 ›› Issue (12): 43-52.doi: 10.11959/j.issn.1000-0801.2016314

• Topic: big data • Previous Articles     Next Articles

Terminal replacement model based on big data mining

Xueqiong WANG,Junjie XIONG,Xiaohui YAO   

  1. Shanghai Research Institute of China Telecom Co., Ltd., Shanghai 200122, China
  • Online:2016-12-20 Published:2017-04-26

Abstract:

In order to incrementally capture, retain and grow the subscriber bases, mobile operators must more effectively maximize the utilization of big data. Promoting the sale of mobile terminals was one of the focus of the operator's business currently. By mining the big data of consumer behaviors, including consumers' attributes, mobile terminal information and DPI data, replacing inclination distinguished model was built based on decision tree and recommending model was built based on clustering algorithm to identify target customers.

Key words: mobile terminal recommendation, data mining, decision tree, clustering algorithm

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