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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