2012Jiangnan daxue xuebao. Ziran kexue banRequires access

Research on Association Rules Apriori Algorithm Improvement

Yuyi Wang

Open publisher page 1 citations

Abstract

To address the defects resultsed from repeatedly scanning the database and producing a large number of candidate itemsets for Apriori algorithm,We propose an improved algorithm.The algorithm only needs to scan database once,and the affairs are transformed into a binary and stored in the database,thus the storage space is saved and the speed is accelerated.Experimental results show that the efficiency of the improved algorithm for mining association rules has improved greatly.

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What this paper is about

To address the defects resultsed from repeatedly scanning the database and producing a large number of candidate itemsets for Apriori algorithm,We propose an improved algorithm.The algorithm only needs to scan database once,and the affairs are transformed into a binary and stored in the database,thus the storage space is saved and the speed is accelerated.Experimental results show that the efficiency of the improved algorithm for mining association rules has improved greatly.

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Available abstract

To address the defects resultsed from repeatedly scanning the database and producing a large number of candidate itemsets for Apriori algorithm,We propose an improved algorithm.The algorithm only needs to scan database once,and the affairs are transformed into a binary and stored in the database,thus the storage space is saved and the speed is accelerated.Experimental results show that the efficiency of the improved algorithm for mining association rules has improved greatly.

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

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