Email phishing detection based on naïve Bayes, Random Forests, and SVM classifications: A comparative study.
Mustafa Al FayoumiAmmar Jamil OdehIsmail Mohamed KeshtaAbobakr AboshgifaTareq AlHajahjehRana AbdulraheemPublished in: CCWC (2022)
Keyphrases
- random forests
- bayesian classifiers
- logistic regression
- bayes classifiers
- tree augmented
- bayes classifier
- decision trees
- support vector
- naive bayes classifier
- random forest
- support vector machine
- decision forest
- naive bayes
- spam filtering
- spam detection
- ensemble methods
- multi class
- bayesian classifier
- machine learning algorithms
- feature selection
- support vector machine svm
- tree ensembles
- bayesian network classifiers
- email messages
- decision tree ensembles
- object detection
- training set
- phishing emails
- training data
- feature extraction
- classification algorithm
- svm classifier
- kernel function
- randomized trees
- regression forests
- cost sensitive
- text mining
- face recognition
- image segmentation