2010•Unpublished venueRequires access

Stduy on an improved apriori algorithm and its application in supermarket

Lu Lin, Peiqi Liu

Open publisher page 2 citations

Abstract

Apriori algorithm is a classical mining algorithm uses the association rules. After analyzing the Apriori algorithm, this algorithm is inefficient due to it scans the database many times. Based on the strategy of accessing to database once, a new improved algorithm founded on the Apriori is put forward in this paper. Experiments show that it can significantly improve computation efficiency, i e reduce the calculatin time and space. This algorithm has been widely used for supermarkets in customer consumer knowledge mining.

About this research paper

What this paper is about

Apriori algorithm is a classical mining algorithm uses the association rules. After analyzing the Apriori algorithm, this algorithm is inefficient due to it scans the database many times. Based on the strategy of accessing to database once, a new improved algorithm founded on the Apriori is put forward in this paper. Experiments show that it can significantly improve computation efficiency, i e reduce the calculatin time and space. This algorithm has been widely used for supermarkets in customer consumer knowledge mining.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Apriori algorithm is a classical mining algorithm uses the association rules. After analyzing the Apriori algorithm, this algorithm is inefficient due to it scans the database many times. Based on the strategy of accessing to database once, a new improved algorithm founded on the Apriori is put forward in this paper. Experiments show that it can significantly improve computation efficiency, i e reduce the calculatin time and space. This algorithm has been widely used for supermarkets in customer consumer knowledge mining.

Key concepts: Apriori algorithm, Association rule learning, GSP Algorithm, Computer science, A priori and a posteriori, Data mining, Computation, Affinity analysis

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