Dealing with Class Noise in Large Training Datasets for Malware Detection.
Dragos GavrilutLiviu CiortuzPublished in: SYNASC (2011)
Keyphrases
- malware detection
- training dataset
- class noise
- imbalanced datasets
- attribute noise
- malicious executables
- training data
- noise model
- data quality
- anomaly detection
- training set
- class imbalance
- learning algorithm
- class labels
- training samples
- noisy environments
- noisy data
- image processing
- denoising
- active learning
- computer vision