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

• Main Authors: Mustafa, Tareef Kamil, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir
• Format: Article
• Language: English; English
• Published: Science Publications 2010
• Online Access: http://psasir.upm.edu.my/id/eprint/14139/1/Dropping%20down%20the%20maximum%20item%20set.pdf; http://psasir.upm.edu.my/id/eprint/14139/

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...