Analyzing Relationships Between Aircraft Accidents and Incidents A data mining approach
نویسندگان
چکیده
Air transportation systems are designed to ensure that aircraft accidents are rare events. To minimize these accidents, factors causing or contributing to accidents must be understood and prevented. Previous research has studied accident data to determine these factors. The low rate of accidents however, makes it difficult to discover repeating patterns of these factors. In this research we employed a data mining technique to conduct a holistic analysis of aircraft incident data in relation to the accident data. The analysis identifies relationships between the accident and incident data and finds patterns of causal and contributory factors which are significantly associated with aircraft accidents. Keywordsaviation safety; aircraft accidents; aircraft incidents; data mining; contrast-set mining
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Contrast-Set Mining of Aircraft Accidents and Incidents
Identifying patterns of factors associated with aircraft accidents is of high interest to the aviation safety community. However, accident data is not large enough to allow a significant discovery of repeating patterns of the factors. We applied the STUCCO algorithm to analyze aircraft accident data in contrast to the aircraft incident data in major aviation safety databases and identified fact...
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