Clustering feature decision trees for semi-supervised classification from high-speed data streams

Author:

Xu Wen-hua,Qin Zheng,Chang Yang

Publisher

Zhejiang University Press

Subject

General Engineering

Reference23 articles.

1. Bifet, A., Kirkby, R., Holmes, G., Pfahringer, B., 2007. MOA: Massive Online Analysis. Available from http://moa.cs.waikato.ac.nz/ [Accessed on Jan. 31, 2010].

2. Bifet, A., Holmes, G., Pfahringer, B., Kirkby, R., Gavalda, R., 2009. New Ensemble Methods for Evolving Data Streams. Proc. 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, p.139–148. [doi:10.1145/1557019.1557041]

3. Bifet, A., Holmes, G., Pfahringer, B., Frank, E., 2010. Fast perceptron decision tree learning from evolving data streams. LNCS, 6119:299–310. [doi:10.1007/978-3-642-13672-6_30]

4. Chapelle, O., Scholkopf, B., Zien, A., 2006. Semi-supervised Learning. MIT Press, Cambridge, USA, p.5.

5. Domingos, P., Hulten, G., 2000. Mining High-Speed Data Streams. Proc. 6th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, p.71–80. [doi: 10.1145/347090.347107]

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