PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Authorship Attribution in Law Enforcement Scenarios
Moshe Koppel, Jonathan Schler and Eran Messeri
In: Security Informatics and Terrorism - Patrolling the Web NATO Series . (2008) IOS Press , USA .

Abstract

Typical authorship attribution methods are based on the assumption that we have a small closed set of candidate authors. In law enforcement scenarios, this assumption is often violated. There might be no closed set of suspects at all or there might be a closed set containing thousands of suspects. We show how even under such circumstances, we can make useful claims about authorship.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:4684
Deposited By:Moshe Koppel
Deposited On:08 March 2010