A Novel Approach for Associative Classification Based on Information Entropy of Frequent Attribute Set.
Wenyu CaoQiuyan ZhongHaifeng LiShuyuan LiangPublished in: IEEE Access (2020)
Keyphrases
- information entropy
- associative classification
- attribute set
- rough sets
- rough set theory
- rule sets
- attribute reduction
- minimum support
- association rules
- highly competitive
- privacy preservation
- association rule mining
- decision table
- classification rules
- frequent patterns
- emerging patterns
- data mining
- decision rules
- multi label
- mining algorithm
- concept lattice
- fuzzy sets
- knowledge discovery
- classification method
- frequent itemsets
- itemsets
- privacy preserving
- sequential patterns
- data analysis
- frequent pattern mining
- neural network
- data reduction
- databases
- pattern recognition
- decision trees
- rule extraction
- machine learning