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An Updating Algorithm Based on the mining result for association Rules

Xiuyu Zhang

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Abstract

Apriori algorithm is a basic algorithm for all association rules,but it is Low-efficient and time-consuming that requires the scanning of the database repeatedly. It is presented in this paper with a highly efficient updating algorithm based on the latest mining result for the maintenance of discovered association rules which requires only two times scanning of the database and improves the efficiency greatly.

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What this paper is about

Apriori algorithm is a basic algorithm for all association rules,but it is Low-efficient and time-consuming that requires the scanning of the database repeatedly. It is presented in this paper with a highly efficient updating algorithm based on the latest mining result for the maintenance of discovered association rules which requires only two times scanning of the database and improves the efficiency greatly.

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Available abstract

Apriori algorithm is a basic algorithm for all association rules,but it is Low-efficient and time-consuming that requires the scanning of the database repeatedly. It is presented in this paper with a highly efficient updating algorithm based on the latest mining result for the maintenance of discovered association rules which requires only two times scanning of the database and improves the efficiency greatly.

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

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