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Communication Base Station Log Analysis Based on Hierarchical Clustering

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成果类型:
期刊论文、会议论文
作者:
Zhang, Shao-Hua;Liu, Chang-Hua*
通讯作者:
Liu, Chang-Hua
作者机构:
[Zhang, Shao-Hua; Liu, Chang-Hua] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liu, Chang-Hua] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
conference;proceedings;computer;mathematics
期刊:
ITM Web of Conferences
ISSN:
2271-2097
年:
2017
卷:
11
页码:
03002
会议名称:
International Conference on Information Science and Technology (IST)
会议论文集名称:
ITM Web of Conferences
会议时间:
MAR 24-26, 2017
会议地点:
Wuhan, PEOPLES R CHINA
会议主办单位:
[Zhang, Shao-Hua;Liu, Chang-Hua] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
主编:
Yang, H
出版地:
17 AVE DU HOGGAR PARC D ACTIVITES COUTABOEUF BP 112, F-91944 CEDEX A, FRANCE
出版者:
E D P SCIENCES
基金类别:
Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61502438]; Hubei Provincial Department of Education Science and Technology Project [2014-47]
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
Communication base stations generate massive data every day, these base station logs play an important value in mining of the business circles. This paper use data mining technology and hierarchical clustering algorithm to group the scope of business circle for the base station by recording the data of these base stations. Through analyzing the data of different business circle based on feature extraction and comparing different business circle category characteristics, which can c...

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