Boosting Naive Bayes for Claim Fraud Diagnosis
Viaene, Stijn Derrig, Richard Dedene, Guido
Viaene, Stijn
Derrig, Richard
Dedene, Guido
Citations
Altmetric:
Publication Type
Conference Proceeding
Editor
Supervisor
Publication Year
2002
Journal
Lecture Notes in Computer Science
Book
Lecture Notes in Computer Science
Publication Volume
2454
Publication Issue
Publication Begin page
Publication End page
Publication Number of pages
Collections
Abstract
In this paper we apply the weight of evidence reformulation of AdaBoosted naive Bayes scoring due to Ridgeway et al. (1998) for the diagnosis of insurance claim fraud. The method effiectively combines the advantages of boosting and the modelling power and representational attractiveness of the probabilistic weight of evidence scoring framework. We present the results of an experimental comparison with an emphasis on both discriminatory power and calibration of probability estimates. The data on which we evaluate the method consists of a representative set of closed personal injury protection automobile insurance claims from accidents that occurred in Massachusetts during 1993. The findings of the study reveal the method to be a valuable contribution to the design of effective, intelligible, accountable and efficient fraud detection support.
Research Projects
Organizational Units
Journal Issue
Keywords
46 Information and Computing Sciences