Dropping Down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship Investigation

Journal of Computer Science - United States
doi 10.3844/jcssp.2010.235.243
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Science Publications

Related search

Principal Component Analysis for Authorship Attribution

Business Systems Research
Information SystemsFinanceEconomicsManagement Information SystemsInnovationManagement of TechnologyEconometrics
2012English

Authorship Criteria and the Problem of Its Attribution in Scholarly Papers

Scientific and Technical Libraries
2019English

Better Features Sets for Authorship Attribution of Short Messages

Southeast Europe Journal of Soft Computing
2017English

A Comparison of Authorship Attribution Approaches Applied on the Lithuanian Language

2017English

A Unified Approach to Authorship Attribution and Verification

American Statistician
MathematicsStatisticsUncertaintyProbability
2016English

Recognizing and Imitating Programmer Style: Adversaries in Program Authorship Attribution

Proceedings on Privacy Enhancing Technologies
2018English

Deciphering the Authorship Code

Annals of Emergency Medicine
Emergency Medicine
2001English

An Efficient R-Apriori Algorithm for Frequent Item Set Mining in Python

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

The Authorship of "Piers Plowman"

Modern Philology
LinguisticsLiteratureLiterary TheoryCultural StudiesLanguage
1909English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy