Fast Mining of Top-k Frequent Balanced Association Rules.
Xiangyu LiuXinzheng NiuJieliang KuangShenghan YangPengpeng LiuPublished in: IEA/AIE (1) (2021)
Keyphrases
- association rules
- frequent patterns
- association rule mining
- mining algorithm
- itemsets
- association mining
- frequent itemsets
- positive and negative association rules
- minimum support
- mining association rules
- apriori algorithm
- data mining
- mining frequent
- transaction databases
- knowledge discovery
- frequent pattern mining
- fp tree
- frequent sets
- interesting association rules
- discovering frequent
- quantitative association rules
- weighted association rules
- sequential patterns
- data mining techniques
- association rules mining
- market basket data
- pattern mining
- closed patterns
- transactional databases
- frequent itemset mining
- discovering association rules
- maximal frequent
- infrequent itemsets
- frequent pattern discovery
- market basket analysis
- frequent subtree mining
- condensed representations
- pattern growth
- mining frequent patterns
- high utility
- frequent sequential patterns
- temporal association rules
- association rule discovery
- rule mining
- subgraph mining
- query processing
- association patterns
- fuzzy association rules
- candidate generation
- data mining algorithms
- sequential pattern mining algorithm
- interesting patterns
- discovered knowledge
- mining frequent itemsets
- frequent sequences
- frequently occurring
- tree structure
- classification rules
- indirect association
- data structure
- pattern discovery
- interestingness measures
- event sequences
- frequent subgraphs
- itemset mining
- frequent closed itemsets
- closed itemsets