Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud-Reference-Cited by-同舟云学术

Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud

Published:2018-07 Issue: Volume:111 Page:13-26
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Stripling Eugen^ORCID,Baesens Bart,Chizi Barak,vanden Broucke Seppe

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference65 articles.

1. Insurance Fraud Backgrounder: Why is Fraud so Big?;Fraud,2017

2. Insurance fraud;Derrig;Journal of Risk and Insurance,2002

3. Workers Compensation;Institute,2016

4. Insurance fraud: issues and challenges;Viaene;The Geneva Papers on Risk and Insurance,2004

5. First steps to fight workers' compensation fraud;Derrig;Journal of Insurance Regulation,1994

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