Comparative Study of Techniques to Improve Efficiency of Association Rule Mining

In the field of data mining, deriving set of rules from large dataset is primary objective. Association rule mining plays very important role to discover interesting rules according to domain knowledge specified as a minimum support threshold. The efficiency of association rule algorithm can be increased by focusing on reducing number of passes, sampling, parallel execution and constraint based association rule mining. In this paper various ways to enhance performance of association rule mining are discussed.