Using classifier cascades for scalable e-mail classification.
Jay PujaraHal Daumé IIILise GetoorPublished in: CEAS (2011)
Keyphrases
- classification scheme
- classification method
- classification process
- classification rate
- classification algorithm
- nearest neighbor classifier
- support vector machine
- decision trees
- support vector
- training set
- svm classifier
- feature set
- feature space
- accurate classification
- hierarchical classification
- multiple classifiers
- feature selection
- classification models
- class labels
- final classification
- classification schemes
- classifier combination
- supervised classifiers
- spam detection
- higher classification accuracy
- multi category
- supervised classification
- bayesian classifier
- training samples
- k nearest neighbour
- classification accuracy
- decision boundary
- nearest neighbor rule
- binary classifiers
- rule based classifier
- learning vector quantization
- spam e mail
- pre classified
- discriminative classifiers
- robust classification
- learning phase
- spam filtering
- individual classifiers
- multiclass classification
- fuzzy classifier
- pattern recognition
- machine learning
- multi class classifier
- nearest neighbour
- high classification accuracy
- feature vectors
- image classification
- optimum path forest
- pattern classification
- learning algorithm
- fuzzy support vector machine
- probabilistic classifiers
- active learning
- support vector machine svm
- combining classifiers
- accurate classifiers
- classifier ensemble
- multiple classifier systems