2004Computer Engineering and ScienceRequires access

A Mining Algorithm for Association Rules with Negation

Yansheng Lu

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Abstract

The research on the mining algorithms of association rules is to improve the efficiency of Apriori algorithms . The association rules with negative items are studied only by a few researchers. This article analyzes the two basic algorithms for association rules with negative items and puts forward a new algorithm based on improving the existing algorithms. The new algorithm reduces the number of the candidates which need to scan the database, and the algorithm is significant to mining the association rules with negative items.

About this research paper

What this paper is about

The research on the mining algorithms of association rules is to improve the efficiency of Apriori algorithms . The association rules with negative items are studied only by a few researchers. This article analyzes the two basic algorithms for association rules with negative items and puts forward a new algorithm based on improving the existing algorithms. The new algorithm reduces the number of the candidates which need to scan the database, and the algorithm is significant to mining the association rules with negative items.

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Available abstract

The research on the mining algorithms of association rules is to improve the efficiency of Apriori algorithms . The association rules with negative items are studied only by a few researchers. This article analyzes the two basic algorithms for association rules with negative items and puts forward a new algorithm based on improving the existing algorithms. The new algorithm reduces the number of the candidates which need to scan the database, and the algorithm is significant to mining the association rules with negative items.

Key concepts: Association rule learning, Computer science, Apriori algorithm, Negation, Data mining, Association (psychology), Efficient algorithm, Algorithm

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