Mining Top-K Rank Frequent Patterns in Data Streams A Tree Based Approach with Ternary Function and Ternary Feature Vector.
M. S. B. PhridviRajC. V. Guru RaoPublished in: ICCC (2013)
Keyphrases
- frequent patterns
- frequent pattern mining
- tree structure
- feature vectors
- data streams
- minimum support
- itemsets
- frequent pattern tree
- fp tree
- pattern mining
- mining frequent patterns
- mining algorithm
- frequent itemsets
- interesting patterns
- mining frequent itemsets
- association rules
- fp growth
- data stream mining
- pattern growth
- uncertain data
- association rules mining
- sliding window
- sequential patterns
- transactional databases
- candidate patterns
- discovering frequent
- tree structures
- feature space
- huge number
- mining maximal frequent itemsets
- frequent itemset mining
- data structure
- apriori algorithm
- sequential pattern mining
- prefix tree
- closed patterns
- data sets
- candidate generation
- mining association rules
- association rule mining
- transaction databases
- frequent pattern mining algorithms
- similarity measure
- maximal frequent
- mining frequent
- data distribution
- stream data
- frequent sequences