Multi-Label Classification of Learning Objects Using Clustering Algorithms Based on Feature Selection.
Meryem AmaneKarima AissaouiMohammed BerradaPublished in: Int. J. Emerg. Technol. Learn. (2022)
Keyphrases
- learning objects
- multi label classification
- feature selection
- text categorization
- multi label
- clustering algorithm
- text classification
- multi class
- binary classification
- semi supervised learning
- classification algorithm
- learning resources
- k means
- e learning
- learning object repositories
- image annotation
- learning management systems
- learning process
- learning object metadata
- metadata
- support vector machine
- semi supervised
- support vector
- repositories of learning objects
- binary classifiers
- feature set
- knn
- machine learning
- dimensionality reduction
- meta level
- graph cuts
- naive bayes
- k nearest neighbor
- classification accuracy
- feature subset
- reusable learning objects
- feature space
- feature extraction
- database
- data sets
- educational resources
- information retrieval
- class imbalance
- image classification