Insurance fraud identification research based on fuzzy support vector machine with dual membership

Proceeding of 2012 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2012

Volumn 3, Issue , 2012, Pages 457-460

  Han, Tao ^a   Liu, Zhixin ^a   Song, Xiaodong ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Dual membership; Fraud identification; Insurance fraud; Support vector machine

Indexed keywords

DUAL MEMBERSHIP; EMPIRICAL EXPERIMENTS; FUZZY SUPPORT VECTOR MACHINES; INSURANCE CLAIMS; INSURANCE COMPANIES; RECOGNITION MODELS; SAMPLE MEAN VECTOR;

COMPUTER CRIME; CRIME; INDUSTRIAL ENGINEERING; INFORMATION MANAGEMENT; INNOVATION; SUPPORT VECTOR MACHINES;

INSURANCE;

EID: 84870734647     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Artis, Ayuso, Guillen. "Modelling Different Types of Automobile Insurance Fraud Behaviour in the Spanish Market," Insurance: Mathematics and Economics. 1999(24):67-81.
2. Artis, Ayuso, Guillen. "Detection of Automobile Insurance Fraud with Discrete Choice Models and Misclassified Claims," Journal of Risk and Insurance. 2002,69(3):325-340.
3. Steven, Ayuso, and Guillén. "Fraud Detection Using a Multinomial Logit Model With Missing Information". The Journal of Risk and Insurance. 2005, 72(4): 539-550.
4. Jörg Schiller, "The Impact of Insurance Fraud Detection Systems". The Journal of Risk and Insurance, 2006,73(3)421-438.
5. S.Viaene, G.Dedene,and R.A.Derrig, "Auto Claim Fraud Detection Using Bayesian Learning Neural Networks," Expert Systems with Applications,2005,29(3):653-666.
6. A.Ortega, J.Figueroa, A.Ruz, "A Medical Claim Fraud/ Abuse Detection System Based on Data Mining:A Case Study in Chile," In Proceedings of International Conference on Data Mining,Las Vegas, Nevada, USA,2006.
7. Ye Ming-hua. "The construction of China's Motor Vehicle Insurance Fraud Identification Index System." Insurance studies, 2010,(4):83-87.
8. Chen Liang. "Application of improved Bayesian network to discover insurance-fraud." Journal of Henan University of Urban Construction, 2012,21(1):50-53.
9. Ye Ming-hua. "Insurance Fraud Identification based on BP Neural Networks." Insurance Studies, 2011,(3):79-86.
10. Vapnik. "The Nature of Statistical Learning Theory." New York:Springer, 1995
11. Yang Hai-jun, Tai Lei. "Predicting Financial Distress of Listed Corporations based on Fuzzy Support Vector Machine." Journal of Management Sciences in China, 2009,12(3):102-110.
12. T.F. Kuo, Y. Yajima. "Ranking and Selecting Terms for Text Categorization via SVM Discriminate Boundary." International Journal of Intelligent Systems, 2010, 25(2) : 137-154.
13. Li Wei-hong, Liu Li-juan, Gong Wei-guo. "Multi-objective Uniform Design as A SVM Model Selection Tool for Face Recognition." Expert Systems with Applications.2011,38(6): 6689-6695.
14. Rukshan, Vasile. "FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning." IEEE Transaction on Fuzzy Systems, 2010,18(3):558-571.