A comparison between approximate counting and sampling methods for frequent pattern mining on data streams.
Willie NgManoranjan DashPublished in: Intell. Data Anal. (2010)
Keyphrases
- frequent pattern mining
- sampling methods
- data streams
- itemsets
- frequent patterns
- pattern mining
- frequent itemsets
- huge number
- sliding window
- reservoir sampling
- random sampling
- mining frequent patterns
- mining frequent itemsets
- frequent pattern mining algorithms
- data sets
- sampling algorithm
- class imbalance
- mining algorithm
- interesting patterns
- sequential pattern mining
- data mining
- machine learning
- concept drift
- databases
- sequential patterns
- change detection
- active learning
- decision trees
- original data
- data structure
- association rules