Using Data Mining in Traffic Accidents Clustering Analysis

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题名:	Using Data Mining in Traffic Accidents Clustering Analysis
作者:	Kuan-Hung Wu
贡献者:	Department of Information Science and Applications
关键词:	Data mining;Traffic accident;Cluster analysis;SOM;K-Means
日期:	2005
上传时间:	2009-11-17 11:54:15 (UTC+0)
出版者:	Asia University
摘要:	It is an essential issue in improving traffic safety in Taiwan though the traffic network has become much more convenient. In addition, the amount of data in databases has been drastically growing. Thus, gathering useful knowledge to resolve problems from databases have become critical. This paper uses the techniques of Two-Step, Self-Organizing Maps (SOM), and K-Means method in data mining to analyze and cluster a large amount of traffic accidents data to possibly provide useful suggestions or decisions to reduce the number of traffic accidents.
显示于类别:	[行動商務與多媒體應用學系] 博碩士論文

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