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An Algorithm for Association Rules Mining using Apriori based on Genetic Algorithm
2017
International Journal for Research in Applied Science and Engineering Technology
Presently Apriori algorithm plays an essential role in deriving frequent itemsets and then extracting association rules out of it. It is one of the classical algorithms for finding association rules, and is widely used in various applications such as market basket analysis, fraud detection, and early warning of equipment failure etc. To reduce the limitation of Apriori algorithm of generating large number of association rules, we proposed an algorithm in this research work. In this paper we
doi:10.22214/ijraset.2017.3240
fatcat:v5rhlutf4rfe5geie5jo3xniqq