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2003•Unpublished venueRequires access

An Improvement on Apriori Algorithm

Zhang Zhen-lin

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Abstract

This paper provides a survey of the study in association rule generation, and on the basis of analyzing theory of mining association rules, analyzes the Apriori algorithm and presents an Apriori-1 algorithm. On the aspect of calculating candidate large item set support degrees concerning record numbers, the new algorithm is less than records numbers in work DB. It improves the efficiency of original algorithm. The Apriori-1 algorithm is practical.

About this research paper

What this paper is about

This paper provides a survey of the study in association rule generation, and on the basis of analyzing theory of mining association rules, analyzes the Apriori algorithm and presents an Apriori-1 algorithm. On the aspect of calculating candidate large item set support degrees concerning record numbers, the new algorithm is less than records numbers in work DB. It improves the efficiency of original algorithm. The Apriori-1 algorithm is practical.

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Available abstract

This paper provides a survey of the study in association rule generation, and on the basis of analyzing theory of mining association rules, analyzes the Apriori algorithm and presents an Apriori-1 algorithm. On the aspect of calculating candidate large item set support degrees concerning record numbers, the new algorithm is less than records numbers in work DB. It improves the efficiency of original algorithm. The Apriori-1 algorithm is practical.

Key concepts: Apriori algorithm, Association rule learning, A priori and a posteriori, GSP Algorithm, Computer science, Data mining, Algorithm, Set (abstract data type)

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