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 …
containing advertisements, but they increasingly include scams, malware or phishing. In …
A new semantic-based feature selection method for spam filtering
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) …
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 …
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 …
Although researchers and organizations continuously develop anti-spam filters based on …
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 …
the researchers' attention duo to its obvious positive impact in protecting internet users …
[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 …
activities in extracting useful knowledge through texts in several formats. From a managerial …
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 …
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 …
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 …
determines the benefits that can be obtained through classifier fusion. There are many …
Improved spam email filtering architecture using several feature extraction techniques
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 …
email messages continue to affect people's daily lives, whether consciously or …