计算机与现代化 ›› 2013, Vol. 1 ›› Issue (4): 153-157,.doi: 10.3969/j.issn.1006-2475.2013.04.038
• 网络与通信 • 上一篇 下一篇
陈 曦，薛广涛
收稿日期:
修回日期:
出版日期:
发布日期:
CHEN Xi, XUE Guang-tao
Received:
Revised:
Online:
Published:
摘要： 随着3G网络的快速发展和用户数目的迅速增长，3G用户网络数据分析成为当前的研究热点问题之一。本文搭建一个海量数据处理平台，针对大规模移动用户数据进行分析处理，通过观察新用户的短期流量、移动性和设备类型等特征，提出一种基于朴素贝叶斯分类器方法预测用户长期流量的机制，并通过实验证明该方法的有效性，平均预测准确性可以达到80%以上。
关键词: 3G网络, 数据/控制过程分析, 移动设备流量分析, 朴素贝叶斯分类器, 流量预测
Abstract: As 3G network and the number of 3G users rapidly grow, the research on data analysis of 3G networks has become a hot topic. This paper sets up a bigdata storage and computing platform and conducts an analysis of large-scaled mobile user data. Based on the short term user traffic features, mobility and device type, this paper predicts long-term traffic of new users, using naive Bayesian classifier and further validats the feasibility of this method by experiments with an average accuracy more than 80%.
Key words: 3G network, data/control plane analysis, mobile device traffic analysis, naive Bayesian classifier, traffic prediction
中图分类号:
TP393
陈曦;薛广涛. 一种基于朴素贝叶斯分类的3G用户流量预测技术[J]. 计算机与现代化, 2013, 1(4): 153-157,.
CHEN Xi;XUE Guang-tao. A 3G User Traffic Prediction Approach Based on Naive Bayesian Classifier[J]. Computer and Modernization, 2013, 1(4): 153-157,.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2013.04.038
http://www.c-a-m.org.cn/CN/Y2013/V1/I4/153
