Novel Interestingness Measures for Mining Significant Association Rules from Imbalanced Data.
Safa AbdellatifMohamed Ali Ben HassineSadok Ben YahiaPublished in: AINA Workshops (2019)
Keyphrases
- interestingness measures
- association rules
- imbalanced data
- association rule mining
- discovered knowledge
- fuzzy association rules
- itemsets
- mining algorithm
- frequent itemset mining
- interesting rules
- frequent itemsets
- rule mining
- mining association rules
- data mining
- discovered association rules
- data mining techniques
- apriori algorithm
- discovered rules
- linear regression
- rules discovered
- knowledge discovery
- feature selection
- class distribution
- classification rules
- frequent patterns
- support vector machine
- correlation coefficient
- multi dimensional
- class imbalance
- ensemble classifier
- classification models
- pattern discovery
- pattern mining
- text categorization
- data structure