Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes.
Azimkhon OstonovMikhail MoshkovPublished in: CoRR (2023)
Keyphrases
- decision table
- decision trees
- decision rules
- variable precision
- rough set theory
- attribute reduction
- decision tree induction
- knowledge reduction
- flow graphs
- naive bayes
- classification rules
- rule induction
- information entropy
- machine learning
- variable precision rough set
- discernibility matrix
- black box
- random forest
- ensemble methods
- databases
- rough sets
- training set
- training data
- classification models
- rule sets
- upper bound
- rough sets theory
- data analysis
- pattern recognition
- real world