Data Intensive vs Sliding Window Outlier Detection in the Stream Data - An Experimental Approach.
Mateusz KalischMarcin MichalakMarek SikoraLukasz WróbelPiotr PrzystalkaPublished in: ICAISC (2) (2016)
Keyphrases
- outlier detection
- data intensive
- stream data
- sliding window
- data streams
- data management
- web services
- streaming data
- big data
- continuous queries
- data distribution
- sensor data
- data stream mining
- stream mining
- change detection
- sensor networks
- concept drift
- data mining
- knowledge discovery
- frequent itemsets
- detection algorithm
- data sets
- limited memory
- relational databases
- data model
- closed frequent itemsets