Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream.
Saihua CaiRuizhi SunShangbo HaoSicong LiGang YuanPublished in: Neural Comput. Appl. (2020)
Keyphrases
- outlier detection
- itemset mining
- data streams
- itemsets
- frequent itemsets
- frequent closed itemsets
- frequent patterns
- frequent itemset mining
- detecting outliers
- sliding window
- fraud detection
- association rules
- mining algorithm
- constraint programming
- association rule mining
- density ratio estimation
- data mining
- pattern mining
- sequential pattern mining
- detection algorithm
- knowledge discovery
- mining frequent itemsets
- data mining problems
- streaming data
- closed itemsets
- detect outliers
- interesting patterns
- multi dimensional data
- mining association rules
- uncertain data
- frequent pattern mining
- graph mining
- spatial outliers
- data stream mining
- distance based outlier detection
- evolving data streams
- space efficient
- semi supervised
- image sequences
- apriori algorithm
- concept drift
- data analysis
- real world
- databases
- database