Sciweavers

20 search results - page 1 / 4
» Detecting Fraud in Mobile Telephony Using Neural Networks
Sort
View
IEAAIE
2005
Springer
13 years 10 months ago
Detecting Fraud in Mobile Telephony Using Neural Networks
Hernan Grosser, Paola Britos, Ramón Garc&ia...
NIPS
1998
13 years 6 months ago
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previo...
Jaakko Hollmén, Volker Tresp
ICTAI
1999
IEEE
13 years 8 months ago
Neural Data Mining for Credit Card Fraud Detection
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
R. Brause, T. Langsdorf, Michael Hepp
DMIN
2006
106views Data Mining» more  DMIN 2006»
13 years 6 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...
FLAIRS
2004
13 years 6 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...