Resilient identity crime detection

IEEE Transactions on Knowledge and Data Engineering

Volumn 24, Issue 3, 2012, Pages 533-546

  Phua, Clifton ^a   Smith Miles, Kate ^b   Lee, Vincent ^b   Gayler, Ross ^c  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b MONASH UNIVERSITY   (Australia)

^c Veda Advantage   (Australia)

Author keywords

anomaly detection; Data mining based fraud detection; data stream mining; security

Indexed keywords

ADAPTIVITY; ANOMALY DETECTION; BUSINESS RULES; CREDIT APPLICATION; CREDIT APPLICATION FRAUD DETECTION; CRIME DETECTION; DATA STREAM MINING; DATA SUPPORT; DETECTION SYSTEM; FRAUD DETECTION; MULTI-LAYERED; QUALITY DATA; REAL TIME; SECURITY; SOCIAL RELATIONSHIPS; SPIKE DETECTION; TAMPER RESISTANT;

COMPUTER CRIME; DATA MINING; SOCIAL ASPECTS;

CRIME;

EID: 84856412670     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2010.262     Document Type: Article

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