International Journal of Computer Applications
In text documents data mining techniques have been discovered for mining useful patterns. But there are some questions, how to properly use and update discovered patterns is still an open research issue, specifically in the text mining. Therefore, most existing text mining methods have used term-based approaches but they all suffer from the problems of polysemy (multiple meaning words) and synonymy (same meaning word). This paper with proposed system develops innovative and successful pattern-based technique which contains the processes of pattern taxonomy, pattern deploying and gradually developing pattern, to improve the effectiveness of using and updating researched patterns for finding applicable and interesting data with effectual patterns as per the user's requirements.