Common Decision Trees, Rules, and Tests (Reducts) for Dispersed Decision Tables.
Mikhail MoshkovPublished in: KES (2022)
Keyphrases
- decision table
- decision trees
- decision rules
- variable precision
- condition attributes
- rule induction
- knowledge reduction
- attribute reduction
- classification rules
- rule sets
- rough set theory
- information entropy
- rough sets
- naive bayes
- decision tree induction
- machine learning
- random forest
- training set
- discernibility matrix
- flow graphs
- variable precision rough set
- attribute selection
- rule extraction
- training data
- data sets
- base classifiers
- ensemble methods
- test data
- rough sets theory
- learning algorithm