Association Rule Mining by Using New Approach of Propositional Logic

Provided by: IJCER
Topic: Data Management
Format: PDF
In data mining the authors collecting, searching, and analyzing a large amount of data in a database, as to discover rules and patterns. In data mining field association rules are discovered according to minimum support threshold. The accuracy in setting up this threshold directly influences the number and the quality of association rules. The algorithms which are already exist required domain experts to set up the minimum support threshold but if single lower minimum threshold is set too many association rule is generated and if threshold set high then those association rules involving rare items will not be discovered. The risks associated with incomplete rules are reduced because in proposed algorithm association rules are created without the user having to identify a minimum support threshold.

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