2016•Unpublished venueRequires access

Analysis of Association rule in Data Mining

Sachin Kumar Sharma, Shaveta Bhatia

Open publisher page 6 citations

Abstract

Mining the information from large databases has been predictable by many researchers as a main study in diverse system. Researchers in many fields have given away huge interest in data mining. In recent years, Association rule Discovery has become a central topic in Data Mining. Association rule analysis is the approach of generating association rules that take place commonly in a given transaction set. This rule is used to discover relations among the attribute of huge data set based on the support value. This paper provides a survey of the association rule data mining techniques developed recently and analyses the benefits and drawbacks thereof.

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What this paper is about

Mining the information from large databases has been predictable by many researchers as a main study in diverse system. Researchers in many fields have given away huge interest in data mining. In recent years, Association rule Discovery has become a central topic in Data Mining. Association rule analysis is the approach of generating association rules that take place commonly in a given transaction set. This rule is used to discover relations among the attribute of huge data set based on the support value. This paper provides a survey of the association rule data mining techniques developed recently and analyses the benefits and drawbacks thereof.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Mining the information from large databases has been predictable by many researchers as a main study in diverse system. Researchers in many fields have given away huge interest in data mining. In recent years, Association rule Discovery has become a central topic in Data Mining. Association rule analysis is the approach of generating association rules that take place commonly in a given transaction set. This rule is used to discover relations among the attribute of huge data set based on the support value. This paper provides a survey of the association rule data mining techniques developed recently and analyses the benefits and drawbacks thereof.

Key concepts: Association rule learning, Data mining, Computer science, Database transaction, K-optimal pattern discovery, Transaction data, Set (abstract data type), Data science

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