太赫兹科学与电子信息学报2017，Vol.15Issue(6)：928-932,5.DOI:10.11805/TKYDA201706.0928
面向大数据的电信宽带接入点行为特征
Behavioral features of telecom broadband access points with big data
孙静博 1高宸 2李勇2
作者信息
- 1. 中国电信 北京研究院,北京 100191
- 2. 清华大学 电子工程系,北京 100084
- 折叠
摘要
Abstract
Due to the further spread of the broadband, the network of broadband access points becomes quite complicated. It becomes a serious problem that how to define and analyze the behavioral features of large amount of access points. The features of access points are studied based on the log records of users' Internet account. Several useful features are defined and calculated, and then machine learning is introduced to classify the broadband access points. The verification of experimental results shows that it can be identified whether a broadband access point falls into residential category or non-residential category and its behavioral features can be described accurately and efficiently.关键词
大数据/宽带接入点/行为特征Key words
big data/broadband access point/behavioral feature分类
信息技术与安全科学引用本文复制引用
孙静博,高宸,李勇..面向大数据的电信宽带接入点行为特征[J].太赫兹科学与电子信息学报,2017,15(6):928-932,5.
