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CORR
2010
Springer

Text Classification using the Concept of Association Rule of Data Mining

8 years 10 months ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of knowing what classes a text belongs to, is expensive. Automatic classification of text can provide this information at low cost, but the classifiers themselves must be built with expensive human effort, or trained from texts which have themselves been manually classified. In this paper we will discuss a procedure of classifying text using the concept of association rule of data mining. Association rule mining technique has been used to derive feature set from pre-classified text documents. Na
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CORR
Authors Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Parvez Naushad, S. M. Kamruzzaman
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