Analysis of Multi-Dimensional Association Rule in Marine Casualties
Xiaohui Zhang, Zhengjiang Liu · 2011
Based on a large number of real marine accidents, the elementary database of marine traffic accidents is constructed by fully investigated and sufficient survey and analysis, which is used as the source data of data mining. Then the multi-dimensional association rule and Apriori algorithm are introduced to explore the knowledge in accordance with the actual regulars so as to find out the preferential information behind a great quantity of maritime casualty causes. Consequently, the corresponding rules are obtained, and the research proves that technique of data mining is effective and prospective to apply to marine safety. It provides scientific grounds for the maritime traffic management and decision support.