Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism.
Jianqiang DongFei WangBo YuanPublished in: IDEAL (2013)
Keyphrases
- streaming data
- clustering algorithm
- clustering method
- data streams
- k means
- streaming time series
- sliding window
- concept drift
- anomaly detection
- data stream mining
- evolving data streams
- incremental clustering
- data distribution
- unsupervised learning
- data streaming
- high dimensional data
- continuous data streams
- stream data
- stream processing
- massive data streams
- change detection
- data mining tasks
- classification algorithm
- classification accuracy
- bayesian networks
- database systems