Improved Apriori Algorithm for Mining Association Rules | Zendy

Darshan Tank | Zendy

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Improved Apriori Algorithm for Mining Association Rules

Author(s) -

Darshan Tank

Publication year - 2014

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2014.07.03

Subject(s) - apriori algorithm , computer science , association rule learning , data mining , a priori and a posteriori , association (psychology) , algorithm , philosophy , epistemology

Association rules are the main technique for data mining. Apriori algorithm is a classical algorithm of association rule mining. Lots of algorithms for mining association rules and their mutations are proposed on basis of Apriori algorithm, but traditional algorithms are not efficient. For the two bottlenecks of frequent itemsets mining: the large multitude of candidate 2- itemsets, the poor efficiency of counting their support. Proposed algorithm reduces one redundant pruning operations of

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