Industrial Requirements Classification for Redundancy and Inconsistency Detection in SEMIOS.
Manel MezghaniJuyeon KangFlorence SèdesPublished in: RE (2018)
Keyphrases
- classification accuracy
- microcalcification clusters
- pattern classification
- image classification
- neyman pearson
- pattern recognition
- automatic classification
- decision trees
- robust detection
- feature extraction and classification
- classification scheme
- automatic detection
- unsupervised learning
- feature extraction
- support vector
- text classification
- detection algorithm
- feature vectors
- classification process
- classification systems
- support vector machine
- information content
- detection rate
- classification rules
- classification method
- classification algorithm
- benchmark datasets
- machine learning algorithms
- model selection
- feature set
- classification models
- false alarms
- supervised learning
- industrial applications
- detection accuracy
- decision rules
- false positives
- feature selection