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An improved Apriori algorithm

Wan Renxia

Open publisher page 1 citations

Abstract

The paper provides a brief introduction of the study in association rule generation. On the (basis) of mining association rules theory, an improved Apriori algorithm is presented. Due to its advantage of scanning DB only once, the new algorithm is proposed with high efficiency and certain practical (significance.)

About this research paper

What this paper is about

The paper provides a brief introduction of the study in association rule generation. On the (basis) of mining association rules theory, an improved Apriori algorithm is presented. Due to its advantage of scanning DB only once, the new algorithm is proposed with high efficiency and certain practical (significance.)

Why it matters

OpenAlex reports 1 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

The paper provides a brief introduction of the study in association rule generation. On the (basis) of mining association rules theory, an improved Apriori algorithm is presented. Due to its advantage of scanning DB only once, the new algorithm is proposed with high efficiency and certain practical (significance.)

Key concepts: Apriori algorithm, Association rule learning, A priori and a posteriori, Algorithm, Data mining, Basis (linear algebra), Association (psychology), Computer science

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