Density-Based Projected Clustering of Data Streams.
Marwan HassaniPascal SpausMohamed Medhat GaberThomas SeidlPublished in: SUM (2012)
Keyphrases
- data streams
- clustering algorithm
- clustering method
- outlier detection
- k means
- high dimensional data streams
- density based clustering
- anomaly detection
- unsupervised learning
- sliding window
- clusters of arbitrary shapes
- multiple data streams
- spatial clustering
- arbitrary shape
- hierarchical clustering
- density based clustering algorithm
- detecting outliers
- document clustering
- data sets
- sensor networks
- graph theoretic
- subspace clustering
- fuzzy clustering
- cluster analysis
- streaming data
- data points
- stream mining
- concept drift
- continuous data streams
- data clustering
- distributed data streams