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Performance Based Association Rule-Mining Technique Using Genetic Algorithm

Amit Kumar Barai
Dredging Corporation in India Limited, Government of India Undertaking (A Miniratna Category –I PSU), Dredge House, Port Area, Visakhapatnam, india
Abstract—Data Mining is the process of obtaining high level knowledge by automatically discovering information from data in the form of rules and patterns. The data mining seeks to discover knowledge that is comprehensible and accurate. And Association rule mining (ARM) is a well established technique of data mining that identifies significant correlations between items in transactional data. To measure like support count, comprehensibility, used for evaluating a rule can be thought of as different objectives of association rule mining difficulty. In the paper work we improved the association rule-mining problem using genetic algorithm (GA). In this research work, we used the random sampling method. The perfect sample improved the correctness of the rules generated by the algorithm. Our proposed technique shows the effectiveness than existing works.

Index Terms—data mining techniques, association rule mining, genetic algorithm.

Cite: Amit Kumar Barai, "Performance Based Association Rule-Mining Technique Using Genetic Algorithm," Journal of Industrial and Intelligent Information, Vol. 3, No. 2, pp. 114-118, June 2015. doi: 10.12720/jiii.3.2.114-118
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