A Comparative Study Based on Rough Set and Classification Via Clustering Approaches to Handle Incomplete Data to Predict Learning Styles.
Hemant RanaManohar LalPublished in: Int. J. Decis. Support Syst. Technol. (2017)
Keyphrases
- learning algorithm
- rough sets
- learning styles
- incomplete data
- decision rules
- learning process
- rough set theory
- machine learning
- supervised learning
- pattern recognition
- clustering approaches
- missing data
- fuzzy sets
- missing values
- decision trees
- classification accuracy
- em algorithm
- data mining
- active learning
- feature vectors
- fuzzy logic
- text classification
- data analysis
- bayesian networks
- feature selection
- artificial intelligence
- image data
- training set
- class labels
- hierarchical clustering
- neural network