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Application of Clustering Algorithm in Intelligent Transportation Data Analysis

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成果类型:
期刊论文、会议论文
作者:
Long Qiong*;Yu Jie;Zhang Jinfang
通讯作者:
Long Qiong
作者机构:
[Long Qiong; Zhang Jinfang; Yu Jie] Hunan City Coll, Sch Civil Engn, Yiyang, Peoples R China.
通讯机构:
[Long Qiong] H
Hunan City Coll, Sch Civil Engn, Yiyang, Peoples R China.
语种:
英文
关键词:
Clustering algorithm;intelligent transportation;data analysis;application
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2011
卷:
236
页码:
467-473
会议名称:
International Conference on Computing, Information and Control (ICCIC 2011)
会议论文集名称:
Communications in Computer and Information Science
会议时间:
SEP 17-18, 2011
会议地点:
Wuhan, PEOPLES R CHINA
会议主办单位:
[Long Qiong;Yu Jie;Zhang Jinfang] Hunan City Coll, Sch Civil Engn, Yiyang, Peoples R China.
主编:
Zhu, M
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-24096-6
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
摘要:
With the continuous development of data mining technology, to apply the data mining techniques to transportation sector will provide service to transportation scientifically and reasonably. In intelligent transportation, the analysis of traffic flow data is very important, how to analyze the traffic data intelligently is more difficult problem, so using a new data mining techniques to replace the traditional data analysis and interpretation methods is very necessary and meaningful, clustering algorithm is the collection of physical or abstracting objects into groups of similar objects from the...

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