Machine Learning Based Classification of Android Apps through Text Features.
Mohamed GuendouzAbdelmalek AmineReda Mohamed HamouPublished in: EGC (2017)
Keyphrases
- machine learning
- supervised machine learning
- classification accuracy
- svm classifier
- feature set
- feature vectors
- feature construction
- support vector machine
- feature space
- feature extraction
- pattern recognition
- machine learning approaches
- classification method
- machine learning methods
- decision trees
- feature selection
- classification process
- classification models
- machine learning algorithms
- feature generation
- extracted features
- text mining
- feature selection algorithms
- automatically extracted
- machine learning models
- information retrieval
- textual features
- support vector
- image features
- benchmark datasets
- information extraction
- feature analysis
- mobile applications
- text classification
- supervised classification
- learning algorithm
- extracting features
- additional features
- supervised learning
- support vector machine svm
- image classification
- feature subset
- class labels
- co occurrence
- natural language processing
- unsupervised learning
- classification algorithm
- text categorization
- training data
- model selection
- feature values
- false positives
- active learning
- semantic information
- mobile apps