Study and Analysis of Rule Mining from Heterogeneous Applications in Data Mining

In this work we have identified the several issues and efficient approaches when we apply association rule mining is one of the data mining techniques for distributed data sets that are located on the distributed environments. In data mining, there are various application are highly available to extract the rules using association rule mining mechanisms. It takes much longer time to get expected results because since they have dynamic issues are generated every updated fields or applications due to the uncontrolled growth of developments in all areas. In this paper mainly focused on study and analysis process for various available applications and its merits, challenges and various available algorithms to association rule mining for the various organizations.