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dc.contributor.author | Amarfii-Railean, Nelli | |
dc.date.accessioned | 2020-07-14T08:41:40Z | |
dc.date.available | 2020-07-14T08:41:40Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Amarfii-Railean, N. Artificial intelligence applications in financial diagnosis and analysis methods / N. Amarfii-Railean // Статистичні методи та інформаційні технології аналізу соціально-економічного розвитку: зб. текстів доповідей за матеріалами ХХ Міжнар. наук.-практ. конф., 21 травня 2020 р. – Хмельницький: Хмельницький ун-т управління та права ім. Леоніда Юзькова, 2020. P. 112-116. – ISBN 978-617-7572-36-6. | ro |
dc.identifier.uri | http://dspace.usarb.md:8080/jspui/handle/123456789/4634 | |
dc.description.abstract | Artificial intelligence, a relatively new phenomenon in entrepreneurial activity, allows the realization of many applications in the most diverse fields, such as medicine, accounting, auditing, and financial diagnosis. The application of artificial intelligence in economics is argued even by the characteristics and needs of the time (development of online commerce, e-governance, virtual reality, industrial robots). With the ability to learn, to understand, to know from experience, and to deal with old and new situations, artificial intelligence will collect information; examine data for the preparation of decision alternatives and decision-making. | en |
dc.language.iso | en | en |
dc.publisher | USARB | ro |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | artificial intelligence | en |
dc.subject | financial diagnosis | en |
dc.subject | analysis methods | en |
dc.title | Artificial intelligence applications in financial diagnosis and analysis methods [Articol] | en |
dc.type | Article | en |
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