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基于核方法和高斯混合模型的手机上网时长统计分析及应用

  • 常楠 ,
  • 张三国
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  • 中国科学院大学数学科学学院, 北京 100049

收稿日期: 2014-03-03

  修回日期: 2014-03-28

  网络出版日期: 2015-01-15

基金资助

教育部回国留学人员科研启动基金及中国科学院大学校长基金(Y0510IAYOO)资助

Mobile network access time statistical analysis and its application based on kernel method and Gaussian mixture model

  • CHANG Nan ,
  • ZHANG Sanguo
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  • School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2014-03-03

  Revised date: 2014-03-28

  Online published: 2015-01-15

摘要

从不同手机型号角度,分析上网时长的分布,并用核方法和高斯混合模型对手机上网时长数据进行建模和分析。实际数据分析表明,手机上网时长分布具有双峰现象,本文对此现象给出了合理解释。

本文引用格式

常楠 , 张三国 . 基于核方法和高斯混合模型的手机上网时长统计分析及应用[J]. 中国科学院大学学报, 2015 , 32(1) : 136 -139 . DOI: 10.7523/j.issn.2095-6134.2015.01.022

Abstract

Based on kernel method and Gaussian mixture model, we analyze the distribution of the mobile network access time from a new view, the mobile model view. The analysis of real data suggests that the distribution of the mobile network has two peaks. We give some reasonable interpretations for such a phenomenon.

参考文献

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