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2010•Unpublished venueRequires access

Application of improved Apriori in University Library

S. Shirgaonkar, T. M. Rajkumar, Vikram Sıngh

Open publisher page 5 citations

Abstract

Data mining is a process of extracting previously unknown, valid and actionable information from large database or data warehouse and then using information so derived to make crucial business and strategic decisions. In data mining, Apriori is a classic algorithm for learning association rules. Agrawal put forth association rules in 1993 and introduced the famous Apriori algorithm. The objective of this research is to improve the efficiency of Apriori Algorithm.

About this research paper

What this paper is about

Data mining is a process of extracting previously unknown, valid and actionable information from large database or data warehouse and then using information so derived to make crucial business and strategic decisions. In data mining, Apriori is a classic algorithm for learning association rules. Agrawal put forth association rules in 1993 and introduced the famous Apriori algorithm. The objective of this research is to improve the efficiency of Apriori Algorithm.

Why it matters

OpenAlex reports 5 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

Data mining is a process of extracting previously unknown, valid and actionable information from large database or data warehouse and then using information so derived to make crucial business and strategic decisions. In data mining, Apriori is a classic algorithm for learning association rules. Agrawal put forth association rules in 1993 and introduced the famous Apriori algorithm. The objective of this research is to improve the efficiency of Apriori Algorithm.

Key concepts: Apriori algorithm, Association rule learning, Computer science, A priori and a posteriori, Data mining, Data warehouse, Process (computing), Association (psychology)

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Application of improved Apriori in University Library — Research Paper | ScholarLens