|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 117 - Number 1
|Year of Publication: 2015
|Authors: Mustafa M. Shaikh, Ashwini A. Pawar, Vibha B. Lahane
Mustafa M. Shaikh, Ashwini A. Pawar, Vibha B. Lahane . Pattern Discovery Text Mining for Document Classification. International Journal of Computer Applications. 117, 1 ( May 2015), 6-12. DOI=10.5120/20516-2101
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 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 users requirements. In this paper user is also getting the meaningful information without wrong meaning problem.