Document clustering for forensic computing: An approach for improving computer inspection

Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011

Volumn 1, Issue , 2011, Pages 265-268

  Da Cruz Nassif, Luís Filipe ^a,b   Hruschka, Eduardo Raul ^b,c  

^a Brazilian Federal Police Department   (Brazil)

^b UNIVERSITY OF BRASILIA   (Brazil)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

clustering; Forensic computing; text mining

Indexed keywords

APPLICATION DOMAINS; AUTOMATED METHODS; CLUSTERING; CLUSTERING DOCUMENTS; COMPUTER INSPECTION; DATA SETS; DOCUMENT CLUSTERING; FORENSIC ANALYSIS; FORENSIC COMPUTING; K-MEANS; K-MEDOIDS; NUMBER OF CLUSTERS; POLICE INVESTIGATIONS; SINGLE LINK; TEXT MINING; VALIDITY INDEX;

COMPUTER CRIME; COMPUTER FORENSICS; EXPERIMENTS; LEARNING SYSTEMS;

CLUSTERING ALGORITHMS;

EID: 84857811785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2011.59     Document Type: Conference Paper

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