A Knowledge Graph-based Sensitive Feature Selection for Android Malware Classification.
Duoyuan MaYude BaiZhenchang XingLintan SunXiaohong LiPublished in: APSEC (2020)
Keyphrases
- feature selection
- classification accuracy
- text classification
- classification models
- machine learning
- support vector
- pattern recognition
- support vector machine
- feature extraction
- feature space
- feature set
- knowledge base
- accurate classification
- knowledge representation
- expert systems
- text categorization
- small sample
- image classification
- feature vectors
- feature subset
- high dimensionality
- classification method
- class labels
- domain knowledge
- data mining techniques
- irrelevant features
- semi supervised
- malware detection
- class separability
- feature ranking
- classification performances
- selected features
- feature selection algorithms
- feature reduction
- support vector classification
- unsupervised learning
- mutual information
- multi class
- training set
- training data
- naive bayes
- support vector machine svm
- feature weighting
- discriminative features
- bayesian classifier
- knowledge acquisition
- supervised learning
- knowledge discovery
- redundant features
- feature selection and classification
- data sets