2006Computer Technology and DevelopmentRequires access

Research and Improvement on Apriori's Algorithm in Mining with Association Rules

Xian Xue-feng

Open publisher page 5 citations

Abstract

Association rule is an important and issue in data mining.Based on the study of the principle and efficiency of the Apriori algorithm,point out the defect and present a new algorithm that the efficiency of mining with association rules could be improved through employing a new method of producing candidate set.

About this research paper

What this paper is about

Association rule is an important and issue in data mining.Based on the study of the principle and efficiency of the Apriori algorithm,point out the defect and present a new algorithm that the efficiency of mining with association rules could be improved through employing a new method of producing candidate set.

Why it matters

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

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Method / approach

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Available abstract

Association rule is an important and issue in data mining.Based on the study of the principle and efficiency of the Apriori algorithm,point out the defect and present a new algorithm that the efficiency of mining with association rules could be improved through employing a new method of producing candidate set.

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

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