RACER: accurate and efficient classification based on rule aggregation approach.
Javad BasiriFattaneh TaghiyarehHeshaam FailiPublished in: Neural Comput. Appl. (2019)
Keyphrases
- classification accuracy
- rule discovery
- pattern recognition
- classification rules
- accurate classification
- computationally efficient
- automatic classification
- classification algorithm
- unsupervised learning
- support vector
- machine learning
- decision rules
- rule learning
- object classification
- classification method
- training samples
- image classification
- high accuracy
- supervised learning
- feature vectors
- decision trees
- feature extraction
- cost effective
- machine learning methods
- feature selection
- model selection
- highly accurate
- classification models
- learning algorithm
- rule generation
- rule induction
- classification process
- classification systems
- high quality
- pattern classification
- rule sets
- support vector machine svm
- text classification