An ensemble design approach based on bagging technique for filtering e-mail spam.
Sanjiban Sekhar RoyV. Madhu ViswanathamP. Venkata KrishnaPublished in: Int. J. Auton. Adapt. Commun. Syst. (2017)
Keyphrases
- spam e mail
- ensemble learning
- ensemble methods
- design process
- spam filtering
- random forests
- email spam
- anti spam
- spam filters
- decision trees
- neural network
- machine learning
- spam detection
- majority voting
- training data
- meta learning
- learning algorithm
- ensemble classifier
- machine learning methods
- text mining
- user interface
- training set
- spam emails
- case study