A review of spam email detection: analysis of spammer strategies and the dataset shift problem
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 …
Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems
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 …
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
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 …
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
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 …
Hybrid features by combining visual and text information to improve spam filtering performance
The development of information and communication technology has created many positive
outcomes, including convenience for people; however, cases of unsolicited communication …
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 …
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 …
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 …
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 …
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 …
disease (CKD). As non-invasive disease identification approaches are gaining popularity …