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Algorithms based user transmit of Association Rules in Data Mining

Danwen Qian

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Abstract

Most of the algorithms of association rules are based on the Apriori algorithm.However,these algorithms will generate many useless itemsets and tedious rules,which will result in the loss of efficiency and validity.Additionally,the performance of interacting with operator of these methods is also of a sort.Thus,SQL-ⅡAR algorithm is developed in this paper.

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What this paper is about

Most of the algorithms of association rules are based on the Apriori algorithm.However,these algorithms will generate many useless itemsets and tedious rules,which will result in the loss of efficiency and validity.Additionally,the performance of interacting with operator of these methods is also of a sort.Thus,SQL-ⅡAR algorithm is developed in this paper.

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Key contribution

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Method / approach

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Available abstract

Most of the algorithms of association rules are based on the Apriori algorithm.However,these algorithms will generate many useless itemsets and tedious rules,which will result in the loss of efficiency and validity.Additionally,the performance of interacting with operator of these methods is also of a sort.Thus,SQL-ⅡAR algorithm is developed in this paper.

Key concepts: Computer science, Association rule learning, Data mining, Apriori algorithm, sort, SQL, Operator (biology), A priori and a posteriori

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