Credit Card Fraud Detection Using Bayesian and ...

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This paper discusses automated credit card fraud de- tection by means of machine learning. In an era of digitalization, credit card fraud detection is of.
    

         

     

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F1

0.9

F2

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true positive

0.7 0.6

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0.5 0.4 0.3 0.2

F3

0.1

F4

0 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

(d)

false positive

true positive

(a)

0.068 0.066 0.064

error

0.062

1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0

0.06

0.1

0.2

0.3

0.058

0.4

0.5

0.6

0.7

0.8

0.9

1

false positive

0.056 0.054

(e)

0.052 0.05 0

10

20

30

40

50

60

epochs

F1

F2

(b)

F6

F3

F4

F7

1

frd

F9

0.9

F5

F8

F10

0.8

(f)

0.6 0.5 0.4

1 0.9

0.3 0.2 0.1 0 0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

false positive

0.8

0.9

1

true positive

true positive

0.7

0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0

(c)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

false positive

(g)

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