Minimal infrequent pattern based approach for mining outliers in data streams.
C. Sweetlin HemalathaVijay VaidehiR. LakshmiPublished in: Expert Syst. Appl. (2015)
Keyphrases
- data streams
- periodic patterns
- indirect association
- outlier detection
- association patterns
- itemsets
- continuous data streams
- frequent itemsets
- stream mining
- sliding window
- multiple data streams
- data stream mining
- detecting outliers
- frequent patterns
- association rules mining
- mining data streams
- mining algorithm
- concept drift
- transaction databases
- pattern matching
- pattern discovery
- mining frequent itemsets
- closed frequent itemsets
- pattern mining
- streaming data
- frequent sequential patterns
- association rules
- text mining
- sensor networks
- interesting patterns
- outlier mining
- association mining
- sensor data
- data distribution
- missing data
- high speed data streams
- association rule mining
- stream data
- frequent closed itemsets
- sequential patterns
- frequent episodes
- itemset mining
- noisy data
- data mining
- stream processing
- data points
- stream data mining
- web mining
- knowledge discovery
- rule mining
- graph patterns