Classification of Partially Labeled Malicious Web Traffic in the Presence of Concept Drift.
Goce AnastasovskiKaterina Goseva-PopstojanovaPublished in: SERE (Companion) (2014)
Keyphrases
- concept drift
- classification algorithm
- partially labeled
- class imbalance
- web traffic
- data streams
- text classification
- pattern recognition
- support vector
- databases
- website
- classification accuracy
- unsupervised learning
- machine learning
- data distribution
- class labels
- active learning
- training set
- semi supervised learning
- search engine
- feature set
- text mining
- training samples
- non stationary
- machine learning algorithms
- supervised learning
- change detection
- feature space
- feature selection
- multiclass classification
- learning algorithm