Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/292
Nаziv: | Credit Card Fraud Detection - Machine Learning methods | Аutоri: | Varmedja D. Karanović, Mirjana Sladojević, Srđan Arsenović, Marko Anderla, Andraš |
Dаtum izdаvаnjа: | 16-мај-2019 | Čаsоpis: | 2019 18th International Symposium INFOTEH-JAHORINA, INFOTEH 2019 - Proceedings | Sažetak: | © 2019 IEEE. Credit card fraud refers to the physical loss of credit card or loss of sensitive credit card information. Many machine-learning algorithms can be used for detection. This research shows several algorithms that can be used for classifying transactions as fraud or genuine one. Credit Card Fraud Detection dataset was used in the research. Because the dataset was highly imbalanced, SMOTE technique was used for oversampling. Further, feature selection was performed and dataset was split into two parts, training data and test data. The algorithms used in the experiment were Logistic Regression, Random Forest, Naive Bayes and Multilayer Perceptron. Results show that each algorithm can be used for credit card fraud detection with high accuracy. Proposed model can be used for detection of other irregularities. | URI: | https://open.uns.ac.rs/handle/123456789/292 | ISBN: | 9781538670736 | DOI: | 10.1109/INFOTEH.2019.8717766 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
120
prоvеrеnо 20.11.2023.
Prеglеd/i stаnicа
60
Prоtеklа nеdеljа
19
19
Prоtеkli mеsеc
0
0
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.