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1 Ergebnisse
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A Novel Approach to Find Accuracy in Credit Card Fraud Dete..:
, In:
2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)
,
Ruchitha, G.Sai
;
Karthick, V.
;
Nasim, Iffat
- p. 1-8 , 2022
Link:
https://doi.org/10.1109/MACS56771.2022.10022680
RT T1
2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS)
: T1
A Novel Approach to Find Accuracy in Credit Card Fraud Detection Using Improved K-Nearest Neighbor Classifier Method Comparing with Logistic Regression Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-10022680&Exemplar=1&LAN=DE A1 Ruchitha, G.Sai A1 Karthick, V. A1 Nasim, Iffat YR 2022 K1 Computer science K1 Computational modeling K1 Europe K1 Prediction algorithms K1 Credit cards K1 Mathematical models K1 Classification algorithms K1 Novel Effective framework K1 Credit card Fraud Detection K1 Machine learning K1 Logistic regression K1 K-nearest neighbor K1 Fraudulent SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/MACS56771.2022.10022680 DO https://doi.org/10.1109/MACS56771.2022.10022680 SF ELIB - SuUB Bremen
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