Discovery of cluster patterns and its associated data simultaneously

Abstract

Discovering automatic patterns from the databases are most useful information and great demand in science and engineering fields. The effective pattern mining methods such as pattern discovery and association rule mining have been developed and used in various applications. The existing methods are unable to uncover the useful information from the raw data. Discovering large volume of patterns is easy .But finding the relationship between the patterns and associated data are very difficult and further analyzing the patterns are also complex task. In this Paper, we presented a new algorithm which generates closed frequent patterns and its associated data simultaneously. Here the relationship between the patterns and its associated data are made explicit. The experiment result has been included. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.