Tracking High Quality Clusters over Uncertain Data Streams

@article{Zhang2009TrackingHQ,
  title={Tracking High Quality Clusters over Uncertain Data Streams},
  author={Chen Zhang and Ming Gao and Aoying Zhou},
  journal={2009 IEEE 25th International Conference on Data Engineering},
  year={2009},
  pages={1641-1648}
}
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications. In this paper, we try to resolve the problem of clustering over uncertain data streams. Facing uncertain tuples with different probability distributions, the clustering algorithm should not only consider the tuple value but also emphasis on its uncertainty. To fulfill these dual purposes, a metric named tuple… CONTINUE READING
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