Discovering Patterns in Text Mining: A Survey

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-13 Number-1                          
Year of Publication : 2014
Authors : Mr. A. P. Katade , Prof L.J Sankpal
  10.14445/22315381/IJETT-V13P209

MLA 

Mr. A. P. Katade , Prof L.J Sankpal. "Discovering Patterns in Text Mining: A Survey", International Journal of Engineering Trends and Technology (IJETT), V13(1),45-49 July 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

There are many approaches which search the text documents based on the term provided to them, Text mining is a branch of data mining that deals with searching of useful information from large amounts of text documents but these approaches suffer from polysemy and synonymy thus we use pattern based approach and results also have shown that pattern based approaches are better than term based approaches. There are different techniques proposed for discovering patterns in text. We get meaningless pattern when we searched them some of the unidentified pattern also get searched for pruning this pattern we used PTM i.e. Pattern taxonomy model that illustrates the relationship between patterns in documents, to improve the performance of discovered pattern and to get more semantic information .This paper present a techniques of pattern taxonomy for pruning meaning less patterns.

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Keywords
Closed sequential pattern, Information filtering, Pattern mining, Pattern evolution, Text mining.