The Use of Machine Learning for the Purpose of Combating Bank Fraud
Machine learning is a specific field of artificial intelligence that allows an information system to learn and improve itself autonomously using neural networks and deep learning, without the need for explicit programming, by ingesting large amounts of data. With the deepening of banking activity at...
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| Format: | Article |
| Language: | English |
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Research Centre of Industrial Problems of Development of NAS of Ukraine
2023-07-01
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| Series: | Bìznes Inform |
| Subjects: | |
| Online Access: | https://www.business-inform.net/export_pdf/business-inform-2023-7_0-pages-140_145.pdf |
| _version_ | 1797689336593907712 |
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| author | Caprian Iurie |
| author_facet | Caprian Iurie |
| author_sort | Caprian Iurie |
| collection | DOAJ |
| description | Machine learning is a specific field of artificial intelligence that allows an information system to learn and improve itself autonomously using neural networks and deep learning, without the need for explicit programming, by ingesting large amounts of data. With the deepening of banking activity at the global level in cyberspace, the problems of a different kind, which are considered bank frauds, have become substantially more acute. Combating them required the examination of a gigantic volume of information, which as a task can only be achieved with artificial intelligence solutions, including the use of automatic learning technologies. Systems based on automatic learning are capable not only of analyzing the available information, but also of making certain predictions and self-learning conclusions, which allows not only the detection of existing forms of bank fraud, but to a certain extent to prevent it by detecting anomalies in customer behavior. At the moment, the global information industry has developed different forms of automatic learning, which can be adapted to the detection of fraud in different forms of banking activity. The development, implementation and further development of banking information systems based on automatic learning requires the completion of certain stages and the observance of mandatory rules. |
| first_indexed | 2024-03-12T01:44:14Z |
| format | Article |
| id | doaj.art-44bf74687859432cab22bb30a4eca469 |
| institution | Directory Open Access Journal |
| issn | 2222-4459 2311-116X |
| language | English |
| last_indexed | 2024-03-12T01:44:14Z |
| publishDate | 2023-07-01 |
| publisher | Research Centre of Industrial Problems of Development of NAS of Ukraine |
| record_format | Article |
| series | Bìznes Inform |
| spelling | doaj.art-44bf74687859432cab22bb30a4eca4692023-09-09T15:33:50ZengResearch Centre of Industrial Problems of Development of NAS of UkraineBìznes Inform2222-44592311-116X2023-07-01754614014510.32983/2222-4459-2023-7-140-145The Use of Machine Learning for the Purpose of Combating Bank FraudCaprian Iurie0https://orcid.org/0000-0001-5484-3087State University of MoldovaMachine learning is a specific field of artificial intelligence that allows an information system to learn and improve itself autonomously using neural networks and deep learning, without the need for explicit programming, by ingesting large amounts of data. With the deepening of banking activity at the global level in cyberspace, the problems of a different kind, which are considered bank frauds, have become substantially more acute. Combating them required the examination of a gigantic volume of information, which as a task can only be achieved with artificial intelligence solutions, including the use of automatic learning technologies. Systems based on automatic learning are capable not only of analyzing the available information, but also of making certain predictions and self-learning conclusions, which allows not only the detection of existing forms of bank fraud, but to a certain extent to prevent it by detecting anomalies in customer behavior. At the moment, the global information industry has developed different forms of automatic learning, which can be adapted to the detection of fraud in different forms of banking activity. The development, implementation and further development of banking information systems based on automatic learning requires the completion of certain stages and the observance of mandatory rules.https://www.business-inform.net/export_pdf/business-inform-2023-7_0-pages-140_145.pdfmachine learningbankcustomerfraud. |
| spellingShingle | Caprian Iurie The Use of Machine Learning for the Purpose of Combating Bank Fraud Bìznes Inform machine learning bank customer fraud. |
| title | The Use of Machine Learning for the Purpose of Combating Bank Fraud |
| title_full | The Use of Machine Learning for the Purpose of Combating Bank Fraud |
| title_fullStr | The Use of Machine Learning for the Purpose of Combating Bank Fraud |
| title_full_unstemmed | The Use of Machine Learning for the Purpose of Combating Bank Fraud |
| title_short | The Use of Machine Learning for the Purpose of Combating Bank Fraud |
| title_sort | use of machine learning for the purpose of combating bank fraud |
| topic | machine learning bank customer fraud. |
| url | https://www.business-inform.net/export_pdf/business-inform-2023-7_0-pages-140_145.pdf |
| work_keys_str_mv | AT caprianiurie theuseofmachinelearningforthepurposeofcombatingbankfraud AT caprianiurie useofmachinelearningforthepurposeofcombatingbankfraud |