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Journal of Data Processing

Novel Method for Association Rule Construction from Crime Pattern

D Usha, K Rameshkumar
Department of Information Technology, Hindustan Institute of Technology & Science & Chennai, Tamil Nadu, India

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.

Keywords: ARM, IRM, Rule Construct, Crime Dataset, Information Gain Novel Method for Association Rule Construction from Crime Pattern

DOI:https://doi.org/10.6025/jdp/2020/10/1/1-10

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