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» Neural Data Mining for Credit Card Fraud Detection
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ICTAI
1999
IEEE
11 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
KDD
1998
ACM
185views Data Mining» more  KDD 1998»
11 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
ICMLA
2008
11 years 6 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
11 years 11 months ago
An Empirical Analysis of Fraud Detection in Online Auctions: Credit Card Phantom Transaction
The online auction is a well-known business model that shows how business can be changed with the aid of new technologies. On the other hand, although the online auction allows bu...
Myungsin Chae, Seonyoung Shim, Hyungjun Cho, Byung...
DPD
2002
125views more  DPD 2002»
11 years 5 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
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