Novel Method for Association Rule Construction from Crime Pattern
D Usha, K Rameshkumar
Journal of Data Processing, Vol. 10, No. 1, 2020.
DOI: https://doi.org/10.6025/jdp/2020/10/1/1-10
Link: http://www.dline.info/jdp/fulltext/v10n1/jdpv10n1_1.pdf
Abstract:
Association rule mining aims to extract interesting correlations, frequent patterns, associations among sets of items in the transaction database. In this paper, association rule is constructed from the proposed rule mining algorithm. Efficiency based association rule mining algorithm is used to generate patterns and Rule Construction algorithm is used to form association among the generated patterns. This paper aims at applying crime dataset, from which frequent items are generated and association made among the frequent item set. It also compares the performance with other existing rule mining algorithm. The algorithm proposed in this paper overcomes the drawbacks of the existing algorithm and proves the
efficiency in minimizing the execution time. Synthetic and real datasets are applied with the rule mining algorithm to check the efficiency and it proves the results through experimental analysis.