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Improvement for the Apriori Algorithm

Zhun Zhou

Open publisher page 1 citations

Abstract

Data mining is the process of discovering hidden structure or patterns in large quantities of data by using kinds of analytic tools. The paper provides a survey of the study in association rule generation. On the basis of mining association rules theory,Apriori algorithm is analyzed,and an improved Apriori algorithm is proposed. The new Apriori algorithm has the advantages of less record numbers,high efficiency and certain practical significance.

About this research paper

What this paper is about

Data mining is the process of discovering hidden structure or patterns in large quantities of data by using kinds of analytic tools. The paper provides a survey of the study in association rule generation. On the basis of mining association rules theory,Apriori algorithm is analyzed,and an improved Apriori algorithm is proposed. The new Apriori algorithm has the advantages of less record numbers,high efficiency and certain practical significance.

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Available abstract

Data mining is the process of discovering hidden structure or patterns in large quantities of data by using kinds of analytic tools. The paper provides a survey of the study in association rule generation. On the basis of mining association rules theory,Apriori algorithm is analyzed,and an improved Apriori algorithm is proposed. The new Apriori algorithm has the advantages of less record numbers,high efficiency and certain practical significance.

Key concepts: Apriori algorithm, Association rule learning, Computer science, A priori and a posteriori, Data mining, GSP Algorithm, Process (computing), Algorithm

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