Distance based clustering of class association rules to build a compact, accurate and descriptive classifier.
Jamolbek MattievBranko KavsekPublished in: Comput. Sci. Inf. Syst. (2021)
Keyphrases
- association rules
- outlier detection
- class labels
- mixed data
- knowledge discovery
- data mining
- clustering algorithm
- association rule mining
- k means
- feature selection
- class dependent
- training set
- supervised classification
- market basket data
- training data
- support vector
- clustering method
- clustering procedure
- training samples
- spectral clustering
- multiclass classification
- class probabilities
- intra class
- multi class
- similarity measure
- unsupervised learning
- accurate classifiers
- accurate classification
- binary classification problems
- multi class classification
- support vector machine
- data clustering
- classification rules
- self organizing maps
- feature space