Classification of Phishing Email Using Random Forest Machine Learning Technique.
Andronicus Ayobami AkinyeluAderemi Oluyinka AdewumiPublished in: J. Appl. Math. (2014)
Keyphrases
- random forest
- decision trees
- machine learning
- spam filtering
- feature set
- fold cross validation
- random forests
- machine learning methods
- cancer classification
- text mining
- machine learning algorithms
- text classification
- feature selection
- ensemble methods
- classification accuracy
- ensemble classifier
- support vector machine
- feature ranking
- training data
- spam filters
- decision tree learning algorithms
- data mining
- multi label
- naive bayes
- supervised learning
- image classification
- anti spam
- learning algorithm
- feature importance
- support vector
- phishing emails
- base classifiers
- ensemble learning
- training samples
- classification models
- support vector machine svm
- classification algorithm
- email messages
- phishing attacks
- natural language processing
- computer vision
- knowledge discovery
- benchmark datasets
- class labels