Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study.
Jason ZhangPublished in: CoRR (2019)
Keyphrases
- malware detection
- feature selection
- machine learning
- principal component analysis
- dimensionality reduction
- malicious executables
- feature space
- dimension reduction
- feature extraction
- anomaly detection
- text classification
- principal components
- text categorization
- classification accuracy
- machine learning algorithms
- pattern recognition
- data analysis
- independent component analysis
- support vector machine
- case study
- feature engineering
- application programming interface
- linear discriminant analysis
- active learning
- feature selection algorithms
- feature set
- covariance matrix
- reinforcement learning
- learning algorithm
- face recognition
- model selection
- data mining
- knn
- knowledge discovery
- low dimensional
- computer vision
- open source
- software engineering
- object oriented
- information systems