Clustering on Multiple Data Streams

Author:

Tu Li

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Yeh, M.Y., Dai, B.R., Chen, M.S.: Clustering over Multiple Evolving Streams by Events and Correlations. IEEE Transactions on Knowledge and Data Engineering 19(10), 1349–1362 (2007)

2. Lecture Notes in Computer Science;V. Bhatnagar,2007

3. Udommanetanakit, K., Rakthanmanon, T., Waiyamai, K.: E-Stream: Evolution-Based Technique for Stream Clustering, pp. 605–615. Springer, Heidelberg (2007)

4. Yang, J.: Dynamic clustering of evolving streams with a single pass. In: Proc. The 19th International Conference on Data Engineering, Bangalore, India, pp. 695–697 (2003)

5. Beringer, J., Hüllermeier, E.: Online-clustering of parallel data streams. Data and Knowledge Engineering 58(2), 180–204 (2006)

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1. FHC-NDS: Fuzzy Hierarchical Clustering of Multiple Nominal Data Streams;IEEE Transactions on Fuzzy Systems;2023-03

2. Hierarchical clustering for multiple nominal data streams with evolving behaviour;Complex & Intelligent Systems;2022-01-07

3. Anytime clustering of data streams while handling noise and concept drift;Journal of Experimental & Theoretical Artificial Intelligence;2021-03-15

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