Application of classification methods to individual disability income insurance fraud detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4489 LNCS, Issue PART 3, 2007, Pages 852-858

  Peng, Yi ^a   Kou, Gang ^a,c   Sabatka, Alan ^b   Matza, Jeff ^b   Chen, Zhengxin ^a   Khazanchi, Deepak ^a   Shi, Yong ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^b Mutual of Omaha   (United States)

^c Thomson Corporation   (United States)

Author keywords

Classification; Decision tree; Insurance fraud detection; Multiple Criteria Linear Programming (MCLP); Na ve Bayes (NB)

Indexed keywords

CLASSIFICATION (OF INFORMATION); INSPECTION; INSURANCE; LINEAR PROGRAMMING; MATHEMATICAL MODELS; PUBLIC POLICY;

MULTIPLE CRITERIA LINEAR PROGRAMMING (MCLP); PREDICTIVE MODELS;

ELECTRONIC DOCUMENT EXCHANGE;

EID: 38149026389     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72588-6_136     Document Type: Conference Paper

References (5)

1. The National Health Care Anti-Fraud Association, available at: http://www.nhcaa.org/ (2005)
2. Kou, G., Liu, X., Peng, Y., Shi, Y., Wise, M., Xu, W.: Multiple Criteria Linear Programming to Data Mining: Models, Algorithm Designs and Software Developments Optimization Methods and Software 18 (4):, Part 2 AUG (2003) 453-473
3. Kou, G., Peng, Y., Shi, Y., Wise, M., Xu, W.: Discovering Credit Cardholders' Behavior by Multiple Criteria Linear Programming Annals of Operations Research 135 (1):, JAN (2005) 261-274
4. Mutual of Omaha Website: http://www.mutualofomaha.com/. (2006)
5. Peng, Y., Kou, G., Chen, Z. and Shi, Y.: Cross-validation and ensemble analyses on multiple-criteria linear programming classification for credit cardholder behavior in Bubak M et al., eds., ICCS 2004, LNCS 3039:, Krakow, POLAND, JUN 06-09, (2004) 931-939