In pursuit of outliers in multi-dimensional data streams.
Md. Shiblee SadikLe GruenwaldEleazar LealPublished in: IEEE BigData (2016)
Keyphrases
- multi dimensional
- data streams
- outlier detection
- detecting outliers
- multi dimensional data
- sliding window
- concept drift
- sensor networks
- index structure
- data points
- stream data
- sequential pattern mining
- streaming data
- range queries
- continuous data streams
- multiple dimensions
- data distribution
- change detection
- stream mining
- continuous queries
- high dimensional data streams
- sequential patterns
- sensor data
- mining data streams
- noisy data
- data sets
- frequent itemsets
- itemsets
- heavy hitters
- high dimensional
- data stream mining
- random sample consensus
- data cube
- stream processing
- missing data
- limited memory
- data stream classification
- least squares
- data streaming
- detect outliers
- knn
- data structure
- neural network
- distributed data streams
- anytime classification
- databases