| Articolul precedent |
| Articolul urmator |
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 139 0 |
| Căutarea după subiecte similare conform CZU |
| 336.717:004.056 (1) |
| Денежное обращение. Банковское дело. Биржи (787) |
| Информационные технологии. Вычислительная техника. Обработка данных (4280) |
 SM ISO690:2012SINGH, Khushwant, MISTREAN, Larisa, SINGH, Yudhvir, BARAK, Dheerdhwaj, PARASHAR, Abhishek. Fraud detection in financial transactions using IOT and big data analytics. In: Competitivitatea şi inovarea în economia cunoaşterii, Ed. 27, 22-23 septembrie 2023, Chişinău. Chişinău Republica Moldova: Departamentul Editorial-Poligrafic al ASEM, 2023, Ediţia a 27-a , pp. 490-494. DOI: https://doi.org/10.53486/cike2023.52 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Competitivitatea şi inovarea în economia cunoaşterii Ediţia a 27-a , 2023 |
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Conferința "Competitivitate şi inovare în economia cunoaşterii" 27, Chişinău, Moldova, 22-23 septembrie 2023 | ||||||
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| DOI:https://doi.org/10.53486/cike2023.52 | ||||||
| CZU: 336.717:004.056 | ||||||
| JEL: G21, G23, C8 | ||||||
| Pag. 490-494 | ||||||
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 Descarcă PDF |
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Credit cards, mobile wallets, and other electronic payment methods are gaining popularity. Online transactions are increasingly the norm — global fraud increases as electronic payments increase. As credit cards and online shopping become increasingly popular, fraud has skyrocketed. Fraud detection and prevention are being prioritized due to the global economy. |
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| Cuvinte-cheie Big Data Analytics, Apache Spark, SMOTE, Ensemble Learning Methods, Fraud Detection, Sequential Model |
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