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2010•Computer Engineering and Applications JournalRequires access

Research on association rules mining algorithm

Pingshui Wang

Open publisher page 5 citations

Abstract

Association rules mining is an important research field of data mining.Aiming at the poor efficiency of the classical Apriori algorithm which frequently scans the business database,on the basis of researches on the existing association rules mining algorithms,an improved algorithm of association rules mining based on relation matrix is proposed.Theoretical analysis and experiment results show that the proposed algorithm is efficient and practical.

About this research paper

What this paper is about

Association rules mining is an important research field of data mining.Aiming at the poor efficiency of the classical Apriori algorithm which frequently scans the business database,on the basis of researches on the existing association rules mining algorithms,an improved algorithm of association rules mining based on relation matrix is proposed.Theoretical analysis and experiment results show that the proposed algorithm is efficient and practical.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Association rules mining is an important research field of data mining.Aiming at the poor efficiency of the classical Apriori algorithm which frequently scans the business database,on the basis of researches on the existing association rules mining algorithms,an improved algorithm of association rules mining based on relation matrix is proposed.Theoretical analysis and experiment results show that the proposed algorithm is efficient and practical.

Key concepts: Association rule learning, Apriori algorithm, Data mining, Computer science, Field (mathematics), Relation (database), GSP Algorithm, Association (psychology)

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