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Journal of Applied Sciences
Year: 2009  |  Volume: 9  |  Issue: 4  |  Page No.: 731 - 737

A New Accident Investigation Approach Based on Data Mining Techniques

Sh. Parhizi, J. Shahrabi and M. Pariazar    

Abstract: In this study some data mining techniques for accident investigation and risk analysis is proposed. Function of most of accident investigation and risk analysis methodologies have been based on establishment of different scenarios of accident occurrence and simulation of accidents situation and so far no fundamental action for the analysis of remained data from accident has taken place. This study with the approach of data analysis and using different techniques of data mining can eliminate deficiencies of other techniques therewith covers theirs advantages. In this study factor analysis utilized to identify effective factors on occurrence of accidents. Cluster analysis utilized to classify accidents. A case study in a petrochemical company has been done in order to execute and investigate proposed methodology. The results show four different factors effecting on accident`s occurrence and ten different clusters of accidents recognized. Also association rules exposed to discover all patterns and rules that cause occurrence of accidents.

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