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Research on Mining Association-Rules Algorithm Based on Transaction Database

Wei Zhang

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Abstract

Mining association rules is one of the important aspects in knowledge discovery domain. The problem of mining association rules is simply reviewed in the paper. The advantage and disadvantage of Apriori algorithm of conventional association rules are analyzed. A more efficient algorithm for mining association rules based on transaction database TB-MA is designed. The experiments show that TB-MA is effcient.

About this research paper

What this paper is about

Mining association rules is one of the important aspects in knowledge discovery domain. The problem of mining association rules is simply reviewed in the paper. The advantage and disadvantage of Apriori algorithm of conventional association rules are analyzed. A more efficient algorithm for mining association rules based on transaction database TB-MA is designed. The experiments show that TB-MA is effcient.

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Available abstract

Mining association rules is one of the important aspects in knowledge discovery domain. The problem of mining association rules is simply reviewed in the paper. The advantage and disadvantage of Apriori algorithm of conventional association rules are analyzed. A more efficient algorithm for mining association rules based on transaction database TB-MA is designed. The experiments show that TB-MA is effcient.

Key concepts: Association rule learning, Apriori algorithm, Database transaction, Computer science, Data mining, Domain (mathematical analysis), Disadvantage, Affinity analysis

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