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» Synthesizing Test Data for Fraud Detection Systems
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ACSAC
2003
IEEE
13 years 9 months ago
Synthesizing Test Data for Fraud Detection Systems
This paper reports an experiment aimed at generating synthetic test data for fraud detection in an IP based videoon-demand service. The data generation verifies a methodology pre...
Emilie Lundin Barse, Håkan Kvarnström, ...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 4 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
VLDB
2005
ACM
125views Database» more  VLDB 2005»
13 years 9 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
DMIN
2006
106views Data Mining» more  DMIN 2006»
13 years 5 months ago
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile
This paper describes an effective medical claim fraud/abuse detection system based on data mining used by a Chilean private health insurance company. Fraud and abuse in medical cla...
Pedro A. Ortega, Cristián J. Figueroa, Gonz...
AI
2006
Springer
13 years 8 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey