Pattern Discovery For Text Mining Using Pattern Taxonomy

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-10
Year of Publication : 2013
Authors : Miss Dipti S.Charjan , Prof. Mukesh A.Pund

MLA 

Miss Dipti S.Charjan , Prof. Mukesh A.Pund. "Pattern Discovery For Text Mining Using Pattern Taxonomy". International Journal of Engineering Trends and Technology (IJETT). V4(10):4550-4555 Oct 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

In this paper, we focused on developing efficient mining algorithm for discovering patterns from large data collection. and search for useful and interesting patterns. In the field of text mining, pattern mining techniques can be used to find various text patterns, such as frequent itemsets, closed frequent itemsets, co-occurring terms. This paper presents 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. In proposed system we can take sufficient .txt file as inputs & we apply various algorithms & generate expected results. Text-mining refers generally to the process of extracting interesting and non-trivial information and knowledge from unstructured text. An important difference with search is that search requires a user to know what he or she is looking for while text mining attempts to discover information in a pattern that is not known beforehand.

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Keywords
Text mining, text classification, pattern mining, pattern evolving, information filtering