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» Synthesizing Test Data for Fraud Detection Systems
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ICEIS
2008
IEEE
13 years 11 months ago
Internal Fraud Risk Reduction - Results of a Data Mining Case Study
Corporate fraud these days represents a huge cost to our economy. Academic literature already concentrated on how data mining techniques can be of value in the fight against frau...
Mieke Jans, Nadine Lybaert, Koen Vanhoof
ICTAI
1999
IEEE
13 years 9 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
DGO
2009
88views Education» more  DGO 2009»
13 years 5 months ago
Attribute-value specification in customs fraud detection: a human-aided approach
With the growing importance of foreign commerce comes also greater opportunities for fraudulent behaviour. As such, governments must try to detect frauds as soon as they take plac...
Norton Trevisan Roman, Cristiano D. Ferreira, Luis...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 5 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...
WWW
2007
ACM
14 years 5 months ago
Netprobe: a fast and scalable system for fraud detection in online auction networks
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
Shashank Pandit, Duen Horng Chau, Samuel Wang, Chr...