Effect of feature selection methods on machine learning classifiers for detecting email spams.
Shrawan Kumar TrivediShubhamoy DeyPublished in: RACS (2013)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- spam detection
- anti spam
- feature selection
- text mining
- image spam
- spam emails
- supervised classification
- email messages
- spam filters
- support vector
- instant messaging
- text classification
- spam filtering
- learning classifier systems
- data mining
- natural language processing
- pattern recognition
- enron email
- electronic mail
- supervised classifiers
- reinforcement learning
- training set
- learning tasks
- linear classifiers
- training examples
- feature set
- information extraction
- training data
- learning algorithm
- supervised learning
- semi supervised learning
- test set
- roc curve
- classification models
- classification algorithm
- pre classified