Improving spam email classification accuracy using ensemble techniques: a stacking approach.
Muhammad AdnanMuhammad Osama ImamMuhammad Furqan JavedIqbal MurtzaPublished in: Int. J. Inf. Sec. (2024)
Keyphrases
- classification accuracy
- spam filtering
- ensemble learning
- base classifiers
- anti spam
- training set
- spam detection
- naive bayes
- feature selection
- text mining
- combining classifiers
- training data
- email spam
- enron email
- wrapper feature selection
- instant messaging
- email messages
- ensemble methods
- neural network
- image spam
- spam e mail
- spam emails
- learning algorithm
- multiple classifier systems
- support vector
- spam filters
- electronic mail
- majority voting
- classifier ensemble
- ensemble classifier
- random forest
- active learning