A case study of applying boosting naive bayes to claim fraud diagnosis

IEEE Transactions on Knowledge and Data Engineering

Volumn 16, Issue 5, 2004, Pages 612-620

  Viaene, Stijn ^a,b   Derrig, Richard A ^c   Dedene, Guido ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b VLERICK BUSINESS SCHOOL   (Belgium)

^c Automobile Insurers Ins Fraud Bur   (United States)

Author keywords

Claim fraud detection; Classifier design and evaluation; Data mining; Decision support; Knowledge discovery; Pattern recognition

Indexed keywords

CLAIM FRAUD DETECTION; CLASSIFIER DESIGN AND EVALUATION; FRAUD DIAGNOSIS; KNOWLEDGE DISCOVERY;

AUTOMATION; COMPUTER AIDED DESIGN; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; INTELLIGENT CONTROL; KNOWLEDGE ENGINEERING; PATTERN RECOGNITION;

DATA MINING;

EID: 3042636507     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2004.1277822     Document Type: Article

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