Mining Condensed and Lossless Association Rules by Pruning Redundancy.
Lu LiuYin ChenSiqing ShanLu YinPublished in: FSKD (2) (2008)
Keyphrases
- association rules
- association rule mining
- mining algorithm
- mining association rules
- association mining
- frequent itemsets
- data mining
- itemsets
- knowledge discovery
- market basket data
- apriori algorithm
- data mining techniques
- quantitative association rules
- weighted association rules
- frequent patterns
- association rules mining
- interesting association rules
- redundant rules
- discovering association rules
- rule mining
- market basket analysis
- discovered rules
- interestingness measures
- pruning strategy
- temporal association rules
- frequent itemset mining
- association rule discovery
- fuzzy association rules
- transactional databases
- text mining
- frequent item sets
- rules discovered
- incremental updating
- discovered knowledge
- minimum support and minimum confidence
- transaction data
- data streams
- search space
- pattern mining
- interesting patterns
- data structure
- algorithm for mining association rules
- data mining algorithms
- web mining
- formal concept analysis
- rule generation
- frequent pattern mining
- pattern discovery
- sequential pattern mining
- classification rules
- discovery process
- emerging patterns
- pruning method
- associative classification
- positive and negative association rules
- fp tree