A Framework for Clustering Evolving Data Streams

  title={A Framework for Clustering Evolving Data Streams},
  author={Charu C. Aggarwal and Jiawei Han and Jianyong Wang and Philip S. Yu},
The clustering problem is a difficult problem for the data stream domain. This is because the large volumes of data arriving in a stream renders most traditional algorithms too inefficient. In recent years, a few one-pass clustering algorithms have been developed for the data stream problem. Although such methods address the scalability issues of the clustering problem, they are generally blind to the evolution of the data and do not address the following issues: (1) The quality of the clusters… CONTINUE READING
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