A review of spam email detection: analysis of spammer strategies and the dataset shift problem

F Jáñez-Martino, R Alaiz-Rodríguez… - Artificial Intelligence …, 2023 - Springer
Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …

A new semantic-based feature selection method for spam filtering

JR Mendez, TR Cotos-Yanez, D Ruano-Ordas - Applied Soft Computing, 2019 - Elsevier
The Internet emerged as a powerful infrastructure for the worldwide communication and
interaction of people. Some unethical uses of this technology (for instance spam or viruses) …

[HTML][HTML] Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

F Jáñez-Martino, R Alaiz-Rodríguez… - Applied Soft …, 2023 - Elsevier
Spam emails are unsolicited, annoying and sometimes harmful messages which may
contain malware, phishing or hoaxes. Unlike most studies that address the design of efficient …

Classification of spam emails through hierarchical clustering and supervised learning

F Jánez-Martino, E Fidalgo… - arXiv preprint arXiv …, 2020 - arxiv.org
Spammers take advantage of email popularity to send indiscriminately unsolicited emails.
Although researchers and organizations continuously develop anti-spam filters based on …

[PDF][PDF] Exploring Text Mining and Analytics for Applications in Public Security: An in-depth dive into a systematic literature review

VDH De Carvalho, A Costa - Socioecon. Anal, 2023 - periodicos.ufpe.br
Text mining and related analytics emerge as a technological approach to support human
activities in extracting useful knowledge through texts in several formats. From a managerial …

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 …

Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble

M Sarnovsky, M Kolarik - PeerJ Computer Science, 2021 - peerj.com
Data streams can be defined as the continuous stream of data coming from different sources
and in different forms. Streams are often very dynamic, and its underlying structure usually …

Development of proposed ensemble model for spam e-mail classification

AK Shrivas, AK Dewangan, SM Ghosh… - … Technology and Control, 2021 - itc.ktu.lt
Spam e-mail documents classification is a very challenging task for e-mail users, especially
non IT users. Billions of people using the internet and face the problem of spam e-mails. The …

New diversity measure for data stream classification ensembles

K Jackowski - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
The diversity of a voting committee is one of the key characteristics of ensemble systems. It
determines the benefits that can be obtained through classifier fusion. There are many …

Improved spam email filtering architecture using several feature extraction techniques

PRK Prosun, KS Alam, S Bhowmik - … Conference on Big Data, IoT, and …, 2022 - Springer
Research on spam email filtering is drawing experts from all over the world, as these junk
email messages continue to affect people's daily lives, whether consciously or …