An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise

Author:

Zhang Peng,Zhu Xingquan,Shi Yong,Wu Xindong

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Fan, W.: Systematic data selection to mine concept-drifting data streams. In: Proc. of KDD 2004, pp. 128–137 (2004)

2. Kolter, J., Maloof, M.: Using additive expert ensembles to cope with concept drift. In: Proc. of ICML 2005, pp. 449–456 (2005)

3. Scholz, M., Klinkenberg, R.: An ensemble classifier for drifting concepts. In: Proc. of ECML/PKDD 2005 Workshop on Knowledge Discovery in Data Streams, pp. 53–64 (2005)

4. Wang, H., Fan, W., Yu, P., Han, J.: Mining concept-drifting data streams using ensemble classifiers. In: Proc. of KDD 2003, pp. 226–235 (2003)

5. Widmer, G., Kubat, M.: Learning in the presence of concept drift and hidden contexts. Machine Learning 23, 69–101 (1996)

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