Post-retrieval search hit clustering to improve information retrieval effectiveness: Two digital forensics case studies

Decision Support Systems

Volumn 51, Issue 4, 2011, Pages 732-744

  Beebe, Nicole Lang ^a   Clark, Jan Guynes ^a   Dietrich, Glenn B ^a   Ko, Myung S ^a   Ko, Daijin ^a  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

Author keywords

Clustering; Digital forensics; Information retrieval; Self organizing map; Text string search

Indexed keywords

CLUSTERING; CLUSTERING PROCESS; DIGITAL FORENSIC; EMPIRICAL RESULTS; INFORMATION RETRIEVAL RESEARCH; KOHONEN SELF-ORGANIZING MAPS; RETRIEVAL EFFECTIVENESS; SELF ORGANIZING; SELF-ORGANIZING NEURAL NETWORK; TEXT MINING; TEXT STRING SEARCH;

CLUSTERING ALGORITHMS; COMPUTER CRIME; CONFORMAL MAPPING; DATA MINING; ELECTRONIC CRIME COUNTERMEASURES; NEURAL NETWORKS; RESEARCH;

INFORMATION RETRIEVAL;

EID: 80052930514     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2011.01.009     Document Type: Article

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