Abstract

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IMPROVED APRIORI ALGORITHM FOR ASSOCIATION RULES

Shikha Bhardwaj, Preeti Chhikara, Satender Vinayak, Nishant Pai, Kuldeep Meena


Association rules are the main techniques to determine the frequent item set in data mining. Apriori algorithm is the classic algorithm of association rules, which enumerate all of the frequent item sets. If database is large, it takes too much time to scan the database. The improved algorithm is verified, the results show that the improved algorithm is reasonable and effective, and can extract more valuable information.