Received 17.08.2010, Revised 02.11.2010, Accepted 03.12.2010

Application of the APRIORI algorithm for the analysis of emergency situations in railway transport

Tamara Savchuk , Kostiantyn Shchepanovskyi

This paper analyzes the problems that arise when applying associative rule search to analyze emergency situations on the railway. A modification of the Apriori algorithm is proposed, which is based on dividing the set of emergency situation characteristics into two subsets, which reduces the algorithm's running time.

associative rules, apriori, emergency situations, pattern search
75-80
Savchuk , T., & Shchepanovskyi, K. (2010). Application of the APRIORI algorithm for the analysis of emergency situations in railway transport. Information Technologies and Computer Engineering, 7(3), 75-80.

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