MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream.
Saihua CaiSicong LiGang YuanShangbo HaoRuizhi SunPublished in: Knowl. Based Syst. (2020)
Keyphrases
- outlier detection
- data streams
- itemsets
- frequent itemsets
- share frequent itemsets
- detecting outliers
- association rules
- frequent patterns
- sliding window
- knowledge discovery
- uncertain objects
- association rule mining
- frequent itemset mining
- detection algorithm
- density ratio estimation
- density estimation
- mining frequent itemsets
- streaming data
- itemset mining
- fraud detection
- mining algorithm
- high dimensional datasets
- distance based outlier detection
- detect outliers
- concept drift
- credit card fraud detection
- frequent pattern mining
- pattern mining
- data mining
- mining association rules
- stream mining
- density based clustering
- model selection
- data sets
- change detection
- change point detection
- data distribution
- non stationary
- outlier mining
- feature selection
- stream clustering