Topic identification using filtering and rule generation algorithm for textual document

Information stored digitally in text documents are seldom arranged according to specific topics. The necessity to read whole documents is time-consuming and decreases the interest for searching information. Most existing topic identification methods depend on occurrence of terms in the text. Howev...

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Bibliographic Details
Main Author:	Nurul Syafidah, Jamil
Format:	Thesis
Language:	English English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://etd.uum.edu.my/5379/1/s812431.pdf https://etd.uum.edu.my/5379/2/s812431_abstract.pdf https://etd.uum.edu.my/5379/
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