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,...
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons ...
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....
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...
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...
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Nowadays, most important topic about internet banking is security. Banks’ basic concern is ensuring their customers’ electronic transactions. Nevertheless, fraudsters are beco...
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...
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...
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...