Analysis of Association rule in Data Mining
Sachin Kumar Sharma, Shaveta Bhatia
Abstract
Sachin Kumar Sharma, Shaveta Bhatia
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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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