Probabilistic Density-based Adaptive Clustering for Streaming Data.
Anandakrishnan UnnithanSurya Kiran PVignesh LViswanath VSimi SurendranPublished in: ICCCNT (2021)
Keyphrases
- streaming data
- anomaly detection
- clustering algorithm
- data streams
- clustering method
- streaming time series
- outlier detection
- concept drift
- k means
- sliding window
- density based clustering
- evolving data streams
- data distribution
- subspace clustering
- data stream mining
- unsupervised learning
- density based clustering algorithm
- massive data streams
- mining data streams
- arbitrary shape
- hierarchical clustering
- categorical data
- probabilistic model
- continuous queries
- bayesian networks
- stream mining
- incremental clustering
- concept drifting data streams
- continuous data streams
- data structure
- data sets
- pattern recognition
- pairwise
- incoming data
- change detection
- stream processing
- stream data