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» Credit Card Fraud Detection Using Hidden Markov Model
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TDSC
2008
87views more  TDSC 2008»
11 years 5 months ago
Credit Card Fraud Detection Using Hidden Markov Model
Due to a rapid advancement in the electronic commerce technology, the use of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for bo...
Abhinav Srivastava, Amlan Kundu, Shamik Sural, Aru...
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
11 years 12 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
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
12 years 6 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
11 years 7 months ago
Active Mining of Data Streams
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
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