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An Enhanced Data Mining Method for Text Clustering
WEI Shuang
Sanya University
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Abstract  Text mining is based on the statistical analysis of a term. Usually in text mining techniques, the basic measure like term frequency of a term (word or phrase) is computed to judge the importance of the term in the document. But with statistical analysis,the original semantics of the term may not carry the exact meaning of the term. To overcome this problem, a new framework has been introduced which can efficiently find significant matching and related concepts between documents.
Key wordsconcept model      data mining      text clustering      enhanced mining     
:  TP18  

Cite this article:

WEI Shuang. An Enhanced Data Mining Method for Text Clustering. Computer & Telecommunication, 2018, 1(3): 46-48.

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https://www.computertelecom.com.cn/EN/     OR     https://www.computertelecom.com.cn/EN/Y2018/V1/I3/46

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