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Распознавание Спам-Писем Электронной Почты c Помощью Искусственной Нейронной Сети

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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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