Structural XML Classification in Concept Drifting Data Streams-Reference-Cited by-同舟云学术

Structural XML Classification in Concept Drifting Data Streams

Published:2015-07 Issue:4 Volume:33 Page:345-366
ISSN:0288-3635
Container-title:New Generation Computing
language:en
Short-container-title:New Gener. Comput.

Author:

Brzezinski Dariusz,Piernik Maciej

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00354-015-0401-5.pdf

Reference36 articles.

1. Baena-García, M., del Campo-Ávila, J., Fidalgo, R., Bifet, A., Gavaldá, R. and Morales-Bueno, R., “Early drift detection method,” in Fourth International Workshop on Knowledge Discovery from Data Streams, 2006.

2. Bifet A. et al.: “MOA: Massive Online Analysis,”. J. Mach. Learn. Res. 11, 1601–1604 (2010)

3. Bifet, A. and Gavaldà, R., “Learning from time-changing data with adaptive windowing,” in SDM (Skillicorn, D., Liu, B., Apte, C. and Parthasarathy, S. eds.), SIAM, 2007.

4. Bifet, A. and Gavalda, R. “Adaptive xml tree classification on evolving data streams,” in Proc. ECML/PKDD 2009 (1), LNCS, 5781, pp. 147–162, 2009.

5. Bifet, A., Holmes, G. and Pfahringer, B., “Leveraging bagging for evolving data streams,” in ECML/PKDD (1), pp. 135–150, 2010.

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