Rate the Article: Pattern Discovery Techniques for the Text Mining and its Applications, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 118 | Views: 313

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014 | Rating: 6.8 / 10


Pattern Discovery Techniques for the Text Mining and its Applications

Minakshi R. Shinde, Parmeet C. Gill


Abstract: Many data mining techniques have been proposed for mining useful patterns in text documents. However; how to effectively use and update discovered patterns is still an open research issue; especially in the domain of text mining. Since most existing text mining methods adopted term-based approaches; they all suffer from the problems of polysemy and synonymy. Over the years; people have often held the hypothesis that pattern (or phrase) -based approaches should perform better than the term-based ones; but many experiments do not support this hypothesis. This paper include different an 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.


Keywords: Text mining, text classification, pattern mining, pattern evolving, data mining


Edition: Volume 3 Issue 5, May 2014,


Pages: 1660 - 1664



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