An efficient outlier detection method for data streams based on closed frequent patterns by considering anti-monotonic constraints.
Saihua CaiRubing HuangJinfu ChenChi ZhangBo LiuShang YinYe GengPublished in: Inf. Sci. (2021)
Keyphrases
- detection method
- frequent patterns
- data streams
- itemsets
- anti monotonic
- frequent pattern mining
- closed patterns
- frequent itemsets
- pattern mining
- detection algorithm
- outlier detection
- graph patterns
- mining algorithm
- association rules
- sequential patterns
- interesting patterns
- sequential pattern mining
- uncertain data
- mining frequent
- apriori algorithm
- tree structure
- data structure
- data sets
- closed itemsets
- anti monotone
- candidate generation
- detecting outliers
- concept drift
- minimum support
- mining frequent itemsets
- sliding window
- frequent itemset mining
- frequent item sets
- itemset mining
- mining association rules
- relational data
- fp tree
- data distribution
- pattern growth
- association rule mining
- transaction databases
- knowledge discovery
- moving objects
- decision trees