[HTML][HTML] A comprehensive study of spam detection in e-mails using bio-inspired optimization techniques

J Batra, R Jain, VA Tikkiwal, A Chakraborty - International Journal of …, 2021 - Elsevier
Electronic mail is a medium of communication used frequently for conveying a variety of
information. It has become an integral part of people's lives owing to its ease of access and …

A comparative study for content-based dynamic spam classification using four machine learning algorithms

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 …

Improved email spam detection model with negative selection algorithm and particle swarm optimization

I Idris, A Selamat - Applied Soft Computing, 2014 - Elsevier
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 …

Persepsi mahasiswa mengenai pembelajaran dalam jaringan selama pandemi covid-19

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 …

[PDF][PDF] Overview of textual anti-spam filtering techniques

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 …

A lifelong spam emails classification model

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 …

A weak-region enhanced Bayesian classification for spam content-based filtering

V Nosrati, M Rahmani, A Jolfaei… - ACM Transactions on …, 2023 - dl.acm.org
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 …

Extreme Learning machines and Support Vector Machines models for email spam detection

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 …

[PDF][PDF] An Improved Multi-Class Classification Algorithm based on Association Classification Approach and its Application to Spam Emails.

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 …

A study of machine learning algorithms on email spam classification

N Sattu - 2020 - search.proquest.com
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 …