A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.
Tzung-Pei HongMeng-Ping KuHsiu-Wei ChiuWei-Ming HuangShu-Min LiJerry Chun-Wei LinPublished in: IEA/AIE (1) (2021)
Keyphrases
- tree structure
- itemsets
- single stage
- frequent patterns
- data structure
- mining algorithm
- multistage
- frequent itemsets
- high utility
- frequent pattern mining
- mining frequent itemsets
- max min
- pattern mining
- frequent itemset mining
- association rules
- minimum support
- tree structures
- association rule mining
- itemset mining
- emerging patterns
- mining association rules
- pattern growth
- high utility itemsets
- anti monotone
- data mining algorithms
- frequent item sets
- index structure
- apriori algorithm
- sequential pattern mining
- stochastic optimization
- uncertain data
- sequential patterns
- interesting patterns
- data streams
- utility function
- data sets
- xml documents
- mining frequent
- multi dimensional
- candidate generation
- fp tree
- mining frequent patterns
- lead time
- lost sales
- real world
- candidate patterns
- range queries