Using Data Mining in Traffic Accidents Clustering Analysis

ASIAIR > College of Computer Science > Department of Applied Informatics and Multimedia > Theses & dissertations > Item 310904400/3841

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/3841

Title:	Using Data Mining in Traffic Accidents Clustering Analysis
Authors:	Kuan-Hung Wu
Contributors:	Department of Information Science and Applications
Keywords:	Data mining;Traffic accident;Cluster analysis;SOM;K-Means
Date:	2005
Issue Date:	2009-11-17 11:54:15 (UTC+0)
Publisher:	Asia University
Abstract:	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.
Appears in Collections:	[Department of Applied Informatics and Multimedia] Theses & dissertations

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