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文件名称:10.1109@WICT.2011.6141395
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In this paper we present the necessary theory to
detect fraud in credit card transaction processing using a
Hidden Markov Model (HMM). An HMM is initially trained
with the normal behavior of a cardholder. If an incoming
credit card transaction is not accepted by the trained HMM
with sufficiently high probability, it is considered to be fraudulent.
detect fraud in credit card transaction processing using a
Hidden Markov Model (HMM). An HMM is initially trained
with the normal behavior of a cardholder. If an incoming
credit card transaction is not accepted by the trained HMM
with sufficiently high probability, it is considered to be fraudulent.
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10.1109@WICT.2011.6141395.pdf
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