Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification.
Azam HamidinekooZaineb Chelly DagdiaZobia SuhailReyer ZwiggelaarPublished in: IEEE BigData (2018)
Keyphrases
- feature selection
- feature set
- classification accuracy
- feature extraction
- feature space
- feature vectors
- feature subset
- hand crafted
- linguistic features
- deep learning
- text classification
- support vector
- image features
- class labels
- machine learning
- training set
- text categorization
- model selection
- supervised learning
- low level
- unsupervised learning
- domain knowledge
- co occurrence
- machine learning methods
- breast cancer
- training data
- knn