Results 11 to 20 of about 26,114 (175)

MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
core   +7 more sources

Spam [PDF]

, 2005
With the advent of the electronic mail system in the 1970s, a new opportunity for direct marketing using unsolicited electronic mail became apparent.
Levene, M., Levene, Mark, de Freitas, S., de Freitas, Sara   +3 more
core   +5 more sources

Intent Arabic text categorisation based on different machine learning and term frequency

IET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi, Mahmoud Shuker Mahmoud   +1 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

An intelligent SPAM filter - GetEmail5 [PDF]

, 2006
As the increasing reliance on electronic mail (email) continues, unsolicited bulk email (SPAM) also continues to grow because it is a very cheap way for advertising. These unwanted emails are now causing a serious problem in clogging the Internet traffic
P. Cole, Fung, C.C., Hassan, T., Cole, P., Chun Che Fung, T. Hassan   +5 more
core   +1 more source

BlogForever D2.5: Weblog spam filtering report and associated methodology [PDF]

, 2013
This report is written as a first attempt to define the BlogForever spam detection strategy. It comprises a survey of weblog spam technology and approaches to their detection.
Kasioumis, Nikolaos, Stepanyan, K., Stepanyan, Karen, Banos, V., Rynning, Morten, Kopidaki, S., Ross, Seamus, Kim, Y., Kopidaki, Stella, Rynning, M., Banos, Vangelis, Ross, S., Kasioumis, N., Kim, Yunhyong   +13 more
core   +1 more source

Penetrating the Zombie Collective: Spam as an International Security Issue

SCRIPTed: A Journal of Law, Technology & Society, 2006
Since the mid 1990’s, spam has been legally analyzed primarily as an issue of balancing commercial speech with consumers’ privacy. This calculus must now be revised.
Andrea M. Matwyshyn
doaj   +1 more source

Using Machine Learning Techniques for Predicting Email Spam [PDF]

International Journal of Instructional Technology and Educational Studies, 2021
The email has become one of the most efficient and cost-effective methods of communication in recent years. However, as the number of email users grows, so does the number of spam emails.
Hager Mohey, Someya Mohsen
doaj   +1 more source

Deteksi Spam Berbahasa Indonesia Berbasis Teks Menggunakan Model Bert

Jurnal Teknologi Informasi dan Ilmu Komputer
Spam pada SMS dan Email menyebabkan pengalaman kurang menyenangkan bagi pengguna dalam pemanfaatan teknologi. Spam secara umum merupakan sebuah tindakan mengirim pesan yang tidak diinginkan atau tidak diminta kepada sejumlah besar orang. Spam kini dapat
Muhammad Basil Musyaffa Amin, Gibran Hakim, Muhammad Taufik Maulana, Muhammad Fajrul Alwan, Hanna Shafira Anggraheni, Muhammad Jilan Naufal, Novanto Yudistira   +6 more
doaj   +3 more sources

Using online linear classifiers to filter spam Emails [PDF]

, 2007
The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F., Wenfeng, Pan, Wang, Bin   +2 more
core   +2 more sources