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2010•Jisuanji gongchengRequires access

Improved Weighted Association Rules Mining Method

Tianqi Yang

Open publisher page 3 citations

Abstract

Considering the impact of the property number and weight on association rules,this paper presents a new method for mining weighted association rules,which can hold the downward closed property by using an improved model of weighted support measurements when mining association rules.Compared with Apriori algorithm and horizontal weighted association rules mining method,it proves that the method can quickly and efficiently mine important association rules.

About this research paper

What this paper is about

Considering the impact of the property number and weight on association rules,this paper presents a new method for mining weighted association rules,which can hold the downward closed property by using an improved model of weighted support measurements when mining association rules.Compared with Apriori algorithm and horizontal weighted association rules mining method,it proves that the method can quickly and efficiently mine important association rules.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Considering the impact of the property number and weight on association rules,this paper presents a new method for mining weighted association rules,which can hold the downward closed property by using an improved model of weighted support measurements when mining association rules.Compared with Apriori algorithm and horizontal weighted association rules mining method,it proves that the method can quickly and efficiently mine important association rules.

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

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