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 …

Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems

EH Tusher, MA Ismail, MA Rahman, AH Alenezi… - IEEE …, 2024 - ieeexplore.ieee.org
Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …

[PDF][PDF] Sensitivity of MAPE using detection rate for big data forecasting crude palm oil on k-nearest neighbor

RS Al-Khowarizmi, MKM Nasution… - Int. J. Electr. Comput …, 2021 - academia.edu
Forecasting involves all areas in predicting future events. Many problems can be solved by
using a forecasting approach to become a study in the field of data science. Forecasting that …

[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 …

Hybrid features by combining visual and text information to improve spam filtering performance

SG Nam, Y Jang, DG Lee, YS Seo - Electronics, 2022 - mdpi.com
The development of information and communication technology has created many positive
outcomes, including convenience for people; however, cases of unsolicited communication …

Spam email detection using machine learning techniques

I Moutafis, A Andreatos… - European Conference on …, 2023 - books.google.com
This paper focuses on the security of electronic mail, using machine learning algorithms.
Spam email is unwanted messages, usually commercial, sent to a large number of …

A Comparison of Different Kernel Functions of SVM Classification Method for Spam Detection

AE Karyawati, KDY Wijaya… - JITK (Jurnal Ilmu …, 2023 - ejournal.nusamandiri.ac.id
Today, the use of e-mail, especially for formal online communication, is still often done.
There is one common problem faced by e-mail users, which is the frequent receiving of …

[PDF][PDF] Parking entrance control using license plate detection and recognition

MS Farag, MMM El Din… - Indonesian Journal of …, 2019 - academia.edu
There is no doubt that car parking is a very challenging and interesting topic of surveillance.
In the recent years, a lot of smart systems for parking lot access control were developed to …

Rumor detection on twitter using features extraction method

HM Jabir, MA Naser… - 2020 1st. Information …, 2020 - ieeexplore.ieee.org
Rumors can widely and rapidly diffuse in social networks than in offline platforms. This work
was an attempt to address this challenge by introducing an approach for rumors detection …

[PDF][PDF] Computer-aided automated detection of kidney disease using supervised learning technique

N Bhaskar, P Tupe-Waghmare, SS Nikam… - International Journal of …, 2023 - academia.edu
In this paper, we propose an efficient home-based system for monitoring chronic kidney
disease (CKD). As non-invasive disease identification approaches are gaining popularity …