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CORR
2010
Springer
151views Education» more  CORR 2010»
8 years 2 months ago
A Comprehensive Survey of Data Mining-based Fraud Detection Research
This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines t...
Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles,...
CORR
2010
Springer
92views Education» more  CORR 2010»
8 years 3 months ago
Network Intrusion Detection Using FP Tree Rules
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
SAC
2008
ACM
8 years 3 months ago
Privacy-preserving link discovery
Abstract. Link discovery is a process of identifying association(s) among different entities included in a complex network structure. These association(s) may represent any interac...
Xiaoyun He, Basit Shafiq, Jaideep Vaidya, Nabil R....
DMIN
2006
106views Data Mining» more  DMIN 2006»
8 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...
ACSAC
2003
IEEE
8 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, ...
VLDB
2005
ACM
125views Database» more  VLDB 2005»
8 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
IEEEARES
2006
IEEE
8 years 10 months ago
Offline Internet Banking Fraud Detection
Nowadays, most important topic about internet banking is security. Banks’ basic concern is ensuring their customers’ electronic transactions. Nevertheless, fraudsters are beco...
Vasilis Aggelis
ICDE
2006
IEEE
169views Database» more  ICDE 2006»
8 years 10 months ago
Unsupervised Outlier Detection in Time Series Data
Fraud detection is of great importance to financial institutions. This paper is concerned with the problem of finding outliers in time series financial data using Peer Group Analy...
Zakia Ferdousi, Akira Maeda
WISTP
2010
Springer
8 years 11 months ago
Fraud Detection for Voice over IP Services on Next-Generation Networks
The deployment of Next-Generation Networks (NGN) is a challenge that requires integrating heterogeneous services into a global system of All-IP telecommunications. These networks c...
Igor Ruiz-Agundez, Yoseba K. Penya, Pablo Garcia B...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
9 years 4 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
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