Распознавание спам-писем электронной почты c помощью искусственной нейронной сети
Închide
Articolul precedent
Articolul urmator
863 2
Ultima descărcare din IBN:
2024-01-10 09:10
SM ISO690:2012
ФЁДОРОВА, Алёна, САРАНЧУК, Дориан. Распознавание спам-писем электронной почты c помощью искусственной нейронной сети. In: Telecommunications, Electronics and Informatics, Ed. 6, 24-27 mai 2018, Chișinău. Chișinău, Republica Moldova: 2018, Ed. 6, pp. 452-457. ISBN 978-9975-45-540-4.
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
Telecommunications, Electronics and Informatics
Ed. 6, 2018
Conferința "Telecommunications, Electronics and Informatics"
6, Chișinău, Moldova, 24-27 mai 2018

Распознавание спам-писем электронной почты c помощью искусственной нейронной сети


Pag. 452-457

Фёдорова Алёна, Саранчук Дориан
 
Технический Университет Молдовы
 
 
Disponibil în IBN: 3 iunie 2018


Rezumat

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.

Cuvinte-cheie
Spam filtering, recognizing textual messages, N-grams,

artificial neural network, machine learning