Term frequency and inverse document frequency with position score and mean value for mining web content outliers

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Term frequency and inverse document frequency with position score and mean value for mining web content outliers

In the past few years, there was a rapid expansion of activities in the Web Content Mining area. However, the focus was only on the technical, visual design and frequent web content pattern while less frequent web content pattern called outliers was undervalued. Mining Web Content Outliers is used t...

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Bibliographic Details
Main Author:	Wan Zulkifeli, Wan Rusila
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Data mining Web databases Outliers (Statistics)
Online Access:	http://psasir.upm.edu.my/id/eprint/39114/ http://psasir.upm.edu.my/id/eprint/39114/1/FSKTM%202013%208%20IR.pdf

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