B Yu, Z Xu - Knowledge-Based Systems, 2008 - Elsevier
The growth of email users has resulted in the dramatic increasing of the spam emails during the past few years. In this paper, four machine learning algorithms, which are Naïve …
The adaptive nature of unsolicited email by the use of huge mailing tools prompts the need for spam detection. Implementation of different spam detection methods based on machine …
U Toharudin, IS Kurniawan… - Titian Ilmu: Jurnal Ilmiah …, 2021 - journal.unuha.ac.id
Masa Pandemi COVID-19 berpengaruh pada proses pembelajaran diseluruh dunia. Pembelajaran yang dilaksanakan dengan tatap muka beralih menjadi pembelajaran dalam …
T Subramaniam, HA Jalab, AY Taqa - Int. J. Phys. Sci, 2010 - academia.edu
Elecronic mail (E-mail) is an essential communication tool that has been greatly abused by spammers to disseminate unwanted information (messages) and spread malicious contents …
RMA Mohammad - Applied Computing and Informatics, 2024 - emerald.com
Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users …
This article proposes an improved Bayesian scheme by focusing on the region in which Bayesian may fail to correctly identify labels and improve classification performance by …
SO Olatunji - 2017 IEEE 30th Canadian conference on …, 2017 - ieeexplore.ieee.org
Extreme Learning machines (ELM) and Support Vector Machines have become two of the most widely used machine learning techniques for both classification and regression …
RMA Mohammad - IAENG International Journal of Computer Science, 2020 - iaeng.org
In our everyday life, we may use email for personal and professional matters. Yet, email benefits have been bedeviled with the remarkable use of annoying, harmful, and fraudulent …
The act of sending unwanted email messages in large quantities to the recipients who have not verifiably given permission to be sent is known as email spam. Even though a lot of …