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Volume & Issue no: Volume 4, Issue 2, February 2015

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Title:
Pattern Taxonomy Model Technique for Retrieving the Pattern to Classify Text Document
Author Name:
MR.MUKUND NIMBA PATIL ,PROF.PRITI SUBRAMANIUM
Abstract:
ABSTRACT Text mining is nothing but the retrievingof interesting knowledge in large of text data. But there is a chances is that how to guarantee the quality of retrievedrelated features. And that are in the large text documents for specifying user preferences because of the large number of terms set, patterns set and noise. For text mining there are basically two types of method; one is term based method and another is phrase based method. But term based method suffered with the problem of polysemy and synonymy. And phrase based approach suffered with low frequency occurrence. But phrase based method are better than the term based method. But pattern based approach is better than the term based and phrase based approach. The proposed method utilize pattern based method with the set of keywords, which is an new and efficient pattern retrieving technique by which research related text document, news related text document classification of different field are done and more then 80 percent of documents are successfully identified. Keywords:Computer Networks, Network Security, anomaly detection, Intrusion Detection.
Cite this article:
MR.MUKUND NIMBA PATIL ,PROF.PRITI SUBRAMANIUM , " Pattern Taxonomy Model Technique for Retrieving the Pattern to Classify Text Document" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 4, Issue 2, February 2015 , pp. 135-140 , ISSN 2319 - 4847.
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