USING MACHINE LEARNING MODELS TO PREDICT THE NUMBER OF ELECTRONIC TRANSACTIONS
In the world of digital technology, payment for services and goods is carried out through electronic transactions. The significance of these operations is difficult to underestimate. The transaction is carried out by banks.. The safetylessness and ergonomicity of the operation data dictates the need...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
North-Caucasus Federal University
2022-10-01
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| Series: | Современная наука и инновации |
| Subjects: | |
| Online Access: | https://msi.elpub.ru/jour/article/view/636 |
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| Summary: | In the world of digital technology, payment for services and goods is carried out through electronic transactions. The significance of these operations is difficult to underestimate. The transaction is carried out by banks.. The safetylessness and ergonomicity of the operation data dictates the need to predict the number of operations that allow for quick and trouble-free operation of the system. The purpose of this work is to predict the number of electronic transactions for 2018 according to the available retrospective statistical data for Russia. |
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| ISSN: | 2307-910X |