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2005•Journal of Wuhan Yejin University of Science and TechnologyRequires access

Apriori_Q:Solution for Minging Association Rule

Zhang Xiaolong

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Abstract

The mining of association rules is the main method of data mining.This paper presents an algorithm Apriori_Q for mining association rule,which is an improvement of the existing Apriori method by reducing the times of database visit and of pattern-match.Theoretical analysis and experimental results show that Apriori_Q outperforms Apriori in association rule mining,suggesting wider area of application.

About this research paper

What this paper is about

The mining of association rules is the main method of data mining.This paper presents an algorithm Apriori_Q for mining association rule,which is an improvement of the existing Apriori method by reducing the times of database visit and of pattern-match.Theoretical analysis and experimental results show that Apriori_Q outperforms Apriori in association rule mining,suggesting wider area of application.

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Available abstract

The mining of association rules is the main method of data mining.This paper presents an algorithm Apriori_Q for mining association rule,which is an improvement of the existing Apriori method by reducing the times of database visit and of pattern-match.Theoretical analysis and experimental results show that Apriori_Q outperforms Apriori in association rule mining,suggesting wider area of application.

Key concepts: Association rule learning, Apriori algorithm, A priori and a posteriori, Data mining, Computer science, Association (psychology), Philosophy, Epistemology

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