Mining Frequents Itemset and Association Rules in Diabetic Dataset.
Youssef FakirAbdelfatah MaaroufRachid El AyachiPublished in: CBI (2022)
Keyphrases
- association rules
- frequent itemsets
- itemsets
- association rule mining
- mining algorithm
- minimum support and minimum confidence
- frequent patterns
- association mining
- mining association rules
- knowledge discovery
- apriori algorithm
- frequent itemset mining
- data mining techniques
- data mining
- market basket data
- weighted association rules
- transactional databases
- itemset mining
- interestingness measures
- association rules mining
- interesting association rules
- quantitative association rules
- minimum support
- pattern mining
- frequent pattern mining
- discovering association rules
- frequent item sets
- fp tree
- association rule discovery
- positive and negative association rules
- transaction data
- rule mining
- association rule mining algorithm
- discovered rules
- market basket analysis
- mining frequent itemsets
- frequent sets
- fuzzy association rules
- temporal association rules
- interesting patterns
- algorithms for mining association rules
- rule sets
- discovered knowledge
- data structure
- data streams
- closed itemsets
- associative classification
- association patterns
- mining frequent patterns
- formal concept analysis
- pruning strategy
- maximal frequent
- algorithm for mining association rules
- interesting rules
- incremental updating
- emerging patterns
- sequential pattern mining
- frequent closed itemsets
- infrequent itemsets
- massive datasets
- sequential patterns
- text mining
- classification rules
- single scan
- condensed representations