Separation of Incoming E-Mails Through Artificial Intelligence Techniques

Mete Yağanoğlu, (Atatürk University, Faculty of Engineering, Department of Computer Engineering, Erzurum, Turkey)
Erdal Irmak (Gazi University, Faculty of Technology, Department of Electrical and Electronics Engineering, Ankara, Turkey)
Avrupa Bilim ve Teknoloji Dergisi
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Yıl: 2021 Cilt: 0 Sayı: 21 Sayfa Aralığı: 690 - 696 Metin Dili: İngilizce DOI: 10.31590/ejosat.841299 İndeks Tarihi: 25-05-2023

Separation of Incoming E-Mails Through Artificial Intelligence Techniques

Öz:
Technological developments are making individuals and organizations ever more dependent on e-mail to communicate and share information. The increasing use of e-mail as an essential and popular communication method poses potentially severe threats to the Internet and society. Spam e-mails cause security problems for internet users and waste storage, bandwidth, and productivity resources. The increase in the volume of spam e-mails has created an intense need to develop more reliable and robust antispam filters. Therefore, it has become necessary to recommend adaptive spam detection models. In this paper, an intelligent system for the detection and filtering of spam e-mails is described. Machine learning methods aim to create the best models using the available data and analyze new data most accurately, with the help of the model created using previous data. In this study, spam detection was carried out using machine learning methods. In this study, K-nearest neighbors, support vector machine, and decision trees were used in the classification stage. The classification achieved an accuracy of 98.2% in spam detection.
Anahtar Kelime: Spam Detection Natural Language Processing Artificial Intelligence Machine Learning.

Yapay Zeka Teknikleri İle Gelen E-Postaların Ayrıştırılması

Öz:
Teknolojik gelişmeler, bireyleri ve kuruluşları, iletişim kurmak ve bilgi paylaşmak için e-postalara daha bağımlı hale getirmektedir. E-postaların internet üzerinden önemli ve popüler bir iletişim olarak artan kullanımı, İnternet’i ve toplumu etkileyen ciddi bir tehdit oluşturmaktadır. Spam e-postalar internet kullanıcıları için güvenlik sorunlarına sebep olmaktadır ve depolama, bant genişliği ve üretkenlik açısından kaynakları boşa harcamaktadır. İstenmeyen e-postaların hacmindeki artış, daha güvenilir ve sağlam antispam filtrelerin geliştirilmesi için yoğun bir ihtiyaç yaratmıştır. Bu nedenle, uyarlanabilir spam algılama modellerinin önerilmesi bir gereklilik haline gelmektedir. Bu çalışmada, spam e-postalarını başarılı bir şekilde tespit etmek ve filtrelemek için yapay zekaya dayalı akıllı bir algılama sistemi önerilmektedir. Makine öğrenimi yöntemleri, mevcut verileri kullanarak en iyi modelleri oluşturmayı ve önceki veriler kullanılarak oluşturulan model yardımıyla yeni verileri en doğru şekilde analiz etmeyi amaçlamaktadır. Bu çalışmada sınıflandırma aşamasında k-en yakın komşu, destek vektör makinesi ve karar ağaçları kullanılmıştır. Bu çalışmada, istenmeyen e-posta tespiti makine öğrenimi yöntemleri kullanılarak gerçekleştirilmiştir ve % 98.2 başarı oranına ulaşılmıştır.
Anahtar Kelime: Spam Tespiti Doğal Dil İşleme Yapay Zeka Makine Öğrenmesi.

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Yağanoğlu M, Irmak E (2021). Separation of Incoming E-Mails Through Artificial Intelligence Techniques. , 690 - 696. 10.31590/ejosat.841299
Chicago Yağanoğlu Mete,Irmak Erdal Separation of Incoming E-Mails Through Artificial Intelligence Techniques. (2021): 690 - 696. 10.31590/ejosat.841299
MLA Yağanoğlu Mete,Irmak Erdal Separation of Incoming E-Mails Through Artificial Intelligence Techniques. , 2021, ss.690 - 696. 10.31590/ejosat.841299
AMA Yağanoğlu M,Irmak E Separation of Incoming E-Mails Through Artificial Intelligence Techniques. . 2021; 690 - 696. 10.31590/ejosat.841299
Vancouver Yağanoğlu M,Irmak E Separation of Incoming E-Mails Through Artificial Intelligence Techniques. . 2021; 690 - 696. 10.31590/ejosat.841299
IEEE Yağanoğlu M,Irmak E "Separation of Incoming E-Mails Through Artificial Intelligence Techniques." , ss.690 - 696, 2021. 10.31590/ejosat.841299
ISNAD Yağanoğlu, Mete - Irmak, Erdal. "Separation of Incoming E-Mails Through Artificial Intelligence Techniques". (2021), 690-696. https://doi.org/10.31590/ejosat.841299
APA Yağanoğlu M, Irmak E (2021). Separation of Incoming E-Mails Through Artificial Intelligence Techniques. Avrupa Bilim ve Teknoloji Dergisi, 0(21), 690 - 696. 10.31590/ejosat.841299
Chicago Yağanoğlu Mete,Irmak Erdal Separation of Incoming E-Mails Through Artificial Intelligence Techniques. Avrupa Bilim ve Teknoloji Dergisi 0, no.21 (2021): 690 - 696. 10.31590/ejosat.841299
MLA Yağanoğlu Mete,Irmak Erdal Separation of Incoming E-Mails Through Artificial Intelligence Techniques. Avrupa Bilim ve Teknoloji Dergisi, vol.0, no.21, 2021, ss.690 - 696. 10.31590/ejosat.841299
AMA Yağanoğlu M,Irmak E Separation of Incoming E-Mails Through Artificial Intelligence Techniques. Avrupa Bilim ve Teknoloji Dergisi. 2021; 0(21): 690 - 696. 10.31590/ejosat.841299
Vancouver Yağanoğlu M,Irmak E Separation of Incoming E-Mails Through Artificial Intelligence Techniques. Avrupa Bilim ve Teknoloji Dergisi. 2021; 0(21): 690 - 696. 10.31590/ejosat.841299
IEEE Yağanoğlu M,Irmak E "Separation of Incoming E-Mails Through Artificial Intelligence Techniques." Avrupa Bilim ve Teknoloji Dergisi, 0, ss.690 - 696, 2021. 10.31590/ejosat.841299
ISNAD Yağanoğlu, Mete - Irmak, Erdal. "Separation of Incoming E-Mails Through Artificial Intelligence Techniques". Avrupa Bilim ve Teknoloji Dergisi 21 (2021), 690-696. https://doi.org/10.31590/ejosat.841299
Sayfa Oluşturulma Tarihi
24-04-2024 7:26

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