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» Data Mining Prototype for Detecting E-Commerce Fraud
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 5 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
ECIS
2001
13 years 6 months ago
Data Mining Prototype for Detecting E-Commerce Fraud
Monkol Lek, Benjamnin Anandarajah, Narciso Cerpa, ...
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 3 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,...
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
KDD
1998
ACM
185views Data Mining» more  KDD 1998»
13 years 9 months ago
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
Philip K. Chan, Salvatore J. Stolfo