Spam filtering using a logistic regression model trained by an artificial bee colony algorithm
BK Dedeturk, B Akay - Applied Soft Computing, 2020 - Elsevier
Email spam is a serious problem that annoys recipients and wastes their time. Machine-
learning methods have been prevalent in spam detection systems owing to their efficiency in …
learning methods have been prevalent in spam detection systems owing to their efficiency in …
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks
A Barushka, P Hajek - Applied Intelligence, 2018 - Springer
Rapid growth in the volume of unsolicited and unwanted messages has inspired the
development of many anti-spam methods. Supervised anti-spam filters using machine …
development of many anti-spam methods. Supervised anti-spam filters using machine …
Graph centrality based spam sms detection
Short messages usage has been tremendously increased such as SMS, tweets and status
updates. Due to its popularity and ease of use, many companies use it for advertisement …
updates. Due to its popularity and ease of use, many companies use it for advertisement …
Machine Learning Techniques in Spam Filtering
A Barushka - 2020 - dk.upce.cz
The rapid growth of unsolicited and unwanted messages has inspired the development of
many anti-spam methods. Machine-learning methods such as Naive Bayes, support vector …
many anti-spam methods. Machine-learning methods such as Naive Bayes, support vector …