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https://irek.ase.md:443/xmlui/handle/123456789/3104Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singh, Khushwant | - |
| dc.contributor.author | Mistrean, Larisa | - |
| dc.contributor.author | Singh, Yudhvir | - |
| dc.contributor.author | Barac, Dheerdhwaj | - |
| dc.contributor.author | Parashar, Abhishek | - |
| dc.date.accessioned | 2024-02-29T09:15:48Z | - |
| dc.date.available | 2024-02-29T09:15:48Z | - |
| dc.date.issued | 2023-09 | - |
| dc.identifier.isbn | 978-9975-167-39-0 (PDF). | - |
| dc.identifier.uri | https://irek.ase.md:443/xmlui/handle/123456789/3104 | - |
| dc.description | SINGH, Khushwant, MISTREAN, Larisa, SINGH, Yudhvir, BARAK, Dheerdhwaj, PARASHAR, Abhishek. Fraud Detection in Financial Transactions Using IOT and Big Data Analytics. In: Competitiveness and Innovation in the Knowledge Economy [online]: 27th International Scientific Conference: Conference Proceeding, September 22-23, 2023. Chişinău: ASEM, 2023, pp. 490-494. ISBN 978-9975-167-39-0 (PDF). | en_US |
| dc.description.abstract | 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. DOI: https://doi.org/10.53486/cike2023.52; UDC: 336.717:004.056; JEL: G21, G23, C8 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | ASEM | en_US |
| dc.subject | big data analytics | en_US |
| dc.subject | apache spark | en_US |
| dc.subject | SMOTE | en_US |
| dc.subject | ensemble learning methods | en_US |
| dc.subject | fraud detection | en_US |
| dc.subject | sequential model | en_US |
| dc.title | Fraud Detection in Financial Transactions Using IOT and Big Data Analytics | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | 2.Articole | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Conference ASEM September 2023_p490-494.pdf | 268.97 kB | Adobe PDF | View/Open |
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