Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation

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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation

Problem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers...

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Bibliographic Details
Main Authors:	Mustafa, Tareef Kamil, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir
Format:	Article
Language:	English English
Published:	Science Publications 2010
Subjects:	Data mining Text processing (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/14139/ http://psasir.upm.edu.my/id/eprint/14139/1/Dropping%20down%20the%20maximum%20item%20set.pdf

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