Gender-preferential text mining of e-mail discourse

Proceedings - Annual Computer Security Applications Conference, ACSAC

Volumn 2002-January, Issue , 2002, Pages 282-289

  Corney, Malcolm ^a   De Vel, Olivier ^a   Anderson, Alison ^a   Mohay, George ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION   (Australia)

Author keywords

Australia; Computer crime; Computer networks; Electronic mail; Forensics; Law enforcement; Machine learning; Machine learning algorithms; Support vector machines; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CRIME; COMPUTER NETWORKS; DATA MINING; ELECTRONIC MAIL; LAW ENFORCEMENT; LEARNING SYSTEMS; SECURITY OF DATA; SECURITY SYSTEMS; SOCIAL SCIENCES; SUPPORT VECTOR MACHINES;

AUSTRALIA; E-MAIL DOCUMENTS; FORENSICS; LANGUAGE FEATURES; STRUCTURAL CHARACTERISTICS; STYLE MARKERS; TEXT DOCUMENT; TEXT MINING;

LEARNING ALGORITHMS;

EID: 84948951400     PISSN: 10639527     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSAC.2002.1176299     Document Type: Conference Paper

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