CPOCEDS-concept preserving online clustering for evolving data streams
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04121-8.pdf
Reference44 articles.
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2. Aggarwal, C.C., Yu Philip, S., Han, J., Wang, J.: A framework for clustering evolving data streams. In: Proceedings 2003 VLDB Conference, pp. 81–92. Elsevier (2003)
3. Aggarwal, C.C., Yu, P.S.: On classification of high-cardinality data streams. In: Proceedings of the 2010 SIAM International Conference on Data Mining, pp. 802–813. SIAM (2010)
4. Al-Khateeb, T., Masud, M.M., Khan, L., Aggarwal, C., Han, J., Thuraisingham, B.: Stream classification with recurring and novel class detection using class-based ensemble. In: 2012 IEEE 12th International Conference on Data Mining, pp. 31–40. IEEE (2012)
5. Alaettin, Z., Volkan, A.: Data stream clustering: a review. Artif. Intell. Rev. 54(2), 1201–1236 (2021)
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