dc.contributor.author | ФЁДОРОВА, Алёна | |
dc.contributor.author | САРАНЧУК, Дориан | |
dc.date.accessioned | 2019-07-02T09:51:46Z | |
dc.date.available | 2019-07-02T09:51:46Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | ФЁДОРОВА, Алёна, САРАНЧУК, Дориан. Распознавание Спам-Писем Электронной Почты c Помощью Искусственной Нейронной Сети. In: Telecomunicaţii, Electronică şi Informatică: proc. of the 6th intern. conf., May 24-27, 2018. Chişinău, 2018, pp. 452-457. ISBN 978-9975-45-540-4. | en_US |
dc.identifier.isbn | 978-9975-45-540-4 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/2935 | |
dc.description.abstract | This paper describes the short analysis of spam email detection using artificial neural network process. The requirements for developed software product for recognizing and filtered spam were indicated on the obtained conclusions. Artificial neural network was chosen to implement effective filtering. The main concepts of the developed system and implemented algorithms are described in this work. The necessity of creating anti-spam systems was also shown. | en_US |
dc.language.iso | ru | en_US |
dc.publisher | Tehnica UTM | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | spam filtering | en_US |
dc.subject | artificial neural network | en_US |
dc.subject | recognizing textual messages | en_US |
dc.subject | spam filtrare | en_US |
dc.subject | rețele neurale artificiale | en_US |
dc.subject | recunoașterea mesajelor textuale | en_US |
dc.subject | cпам-фильтрация | en_US |
dc.subject | искусственная нейронная сеть | en_US |
dc.subject | распознавание текстовых сообщений | en_US |
dc.title | Распознавание Спам-Писем Электронной Почты c Помощью Искусственной Нейронной Сети | en_US |
dc.type | Article | en_US |
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