Streaming Malware Classification in the Presence of Concept Drift and Class Imbalance.
W. Philip KegelmeyerKen ChiangJoey Burton IngramPublished in: ICMLA (2) (2013)
Keyphrases
- class imbalance
- concept drift
- data streams
- streaming data
- class distribution
- data stream classification
- classification algorithm
- cost sensitive learning
- imbalanced datasets
- change detection
- non stationary
- ensemble learning
- active learning
- ensemble classifier
- data distribution
- cost sensitive
- imbalanced class distribution
- sliding window
- pattern recognition
- feature selection
- minority class
- image registration
- neural network
- data points
- training data
- data mining