Information Retrieval in Text Mining Using Pattern Based Approach

In text documents data mining techniques have been proposed for mining useful patterns. But there are some questions, how to effectively use and update discovered patterns is still an open research issue, especially in the text mining. So most existing text mining methods adopted term-based approaches but they all suffer from the problems of polysemy and synonymy. Polysemy is the word which giving the multiple meaning of word and synonymy is the word which giving the similar meaning of word. After some years, people have been adopted pattern based approaches should perform better than the term-based approaches. This paper with proposed system implements innovative and effective pattern discovery technique which includes the processes of pattern deploying and pattern evolving, to improve the effectiveness of using and updating discovered patterns for finding relevant and interesting information with effective patterns as per the users requirements. In this paper user also getting the meaningful information without misinterpretation problem.