SOStream: Self Organizing Density-Based Clustering over Data Stream.
Charlie IsakssonMargaret H. DunhamMichael HahslerPublished in: MLDM (2012)
Keyphrases
- density based clustering
- evolving data streams
- data streams
- stream clustering
- outlier detection
- clustering algorithm
- concept drift
- stream mining
- streaming data
- sliding window
- clusters of arbitrary shapes
- change detection
- distributed data mining
- arbitrary shape
- high efficiency
- stream data
- data clustering
- data stream mining
- categorical data
- sensor networks
- data distribution
- continuous queries
- frequent itemsets
- data sets
- data mining
- high dimensional datasets
- stream processing
- limited memory
- high dimensional
- random forests
- decision trees
- knowledge discovery
- learning algorithm
- distributed systems
- databases
- itemsets