Abstract
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 word) and synonymy(same meaning word).This is the literature survey paper with proposed system develops innovative and successful patternbased 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 users requirements. In this paper user is also getting the meaningful information without wrong meaning problem. General Terms Text mining, information filtering, Pattern Mining, Data Mining, pattern evolving, Text Classification.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.