Instance-based classification using prototypes generated from large noisy and streaming datasets.
Stefanos OugiaroglouDimitris A. DervosGeorgios EvangelidisPublished in: Comput. Sci. Inf. Syst. (2020)
Keyphrases
- uci repository
- benchmark datasets
- uci machine learning repository
- feature extraction
- database
- machine learning algorithms
- automatic classification
- training set
- classification accuracy
- knn
- pattern classification
- classification systems
- feature space
- uci datasets
- class noise
- pattern recognition
- machine learning
- binary and multi class
- instance based learning
- object classification
- classification models
- automatically generated
- decision rules
- text classification
- data sets
- feature vectors
- support vector machine
- model selection
- training samples
- missing data
- training dataset
- machine learning methods
- image classification
- benchmark data sets
- classification algorithm
- preprocessing
- accurate classifiers
- associative classifiers
- data streams
- classification method