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01005naa a2200277 i 4500 |
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NSK01001162558 |
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HR-ZaNSK |
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ta |
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230208s2020 ci | |0|| ||eng |
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|a (HR-ZaNSK)001162558
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|a HR-ZaNSK
|b hrv
|c HR-ZaNSK
|e ppiak
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|a croatica
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044 |
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|a ci
|c hr
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080 |
1 |
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|a 336
|2 2011
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080 |
1 |
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|a 004
|2 2011
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100 |
1 |
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|a Ata, Oğuz
|4 aut
|9 HR-ZaNSK
|
245 |
1 |
0 |
|a Comparative analysis of different distributions dataset by using data mining techniques on credit card fraud detection /
|c Oğuz Ata, Layth Hazim.
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300 |
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|b Ilustr.
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504 |
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|a Bibliografija: 48 jed.
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653 |
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0 |
|a Kreditne kartice
|a Prijevara
|a Rudarenje podataka
|a SVM
|a Metoda potpornih vektora
|
700 |
1 |
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|a Hazim, Layth
|4 aut
|9 HR-ZaNSK
|
773 |
0 |
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|t Tehnički vjesnik (Strojarski fakultet)
|x 1330-3651
|g 27 (2020), 2 ; str. 618-626
|w nsk.(HR-ZaNSK)000084915
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981 |
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|b B09/20
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998 |
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|b rpeo2302
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856 |
4 |
1 |
|u https://hrcak.srce.hr/236820
|y Elektronička verzija članka
|