Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Elsa LoekitoJames BaileyPublished in: AusDM (2007)
Keyphrases
- binary decision diagrams
- high dimensional datasets
- mining frequent patterns
- fp tree
- frequent pattern mining
- frequent patterns
- outlier detection
- mining frequent itemsets
- data structure
- high dimensional
- high dimensional data
- frequent itemsets
- boolean functions
- pattern mining
- high dimensionality
- pattern growth
- sequential patterns
- mining algorithm
- huge number
- apriori algorithm
- itemsets
- high dimensional spaces
- sequential pattern mining
- data mining tasks
- planning problems
- concept drift
- tree structure
- association rules
- knowledge compilation
- model checking
- frequent itemset mining
- mining association rules
- multi dimensional
- data streams
- database
- dimensionality reduction
- pruning strategy
- clustering quality
- domain independent
- association rule mining