Terminal replacement model based on big data mining

Xueqiong WANG; Junjie XIONG; Xiaohui YAO

doi:10.11959/j.issn.1000-0801.2016314

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Terminal replacement model based on big data mining

Topic: big data | 更新时间：2024-06-05

- Terminal replacement model based on big data mining
- Telecommunications Science Vol. 32, Issue 12, Pages: 43-52(2016)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2016314
  CLC： F274
- Published Online：2016-12，
  
  Published：20 December 2016
- 稿件说明：
移动端阅览
Xueqiong WANG, Junjie XIONG, Xiaohui YAO. Terminal replacement model based on big data mining[J]. Telecommunications science, 2016, 32(12): 43-52.
DOI：

Xueqiong WANG, Junjie XIONG, Xiaohui YAO. Terminal replacement model based on big data mining[J]. Telecommunications science, 2016, 32(12): 43-52. DOI： 10.11959/j.issn.1000-0801.2016314.

摘要

目前，移动终端已成为运营商维系用户、拓展市场的战略重心，提升移动终端销量、扩大终端规模是各运营商的工作重点。基于数据挖掘技术，从用户属性、终端使用信息、终端搜索访问信息等维度出发，挖掘海量用户行为数据价值，建立终端换机模型，具体包括基于决策树算法的用户换机倾向识别模型和基于聚类算法的终端推荐模型，助力移动终端精准营销。

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.

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Keywords

references

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