Performance Evaluation of Algorithms Using a Distributed Data Mining Frame Work Based on Association Rule Mining
Numerous current data mining tasks can be implemented effectively only in a distributed data mining. Thus, distributed data mining has achieved significant importance in the last decade. The proposed distributed data mining application framework, is a data mining tool. This framework aims at developing an efficient association rule mining tool to support effective decision making. Association Rule mining focuses on finding interesting patterns from huge amount of data available in the data warehouses. In order to build strong association rules, it depends on the extraction of association rules by Apriori algorithm, AprioriTID algorithm, AprioriHyprid algorithm, FP growth, etc.