Comparative study between incremental and ensemble learning on data streams: Case study

Author:

Zang Wenyu,Zhang Peng,Zhou Chuan,Guo Li

Publisher

Springer Science and Business Media LLC

Subject

Information Systems and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems

Reference30 articles.

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2. Zhang P, Zhu X, Shi Y: Categorizing and mining concept drifting data streams. Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining 2008, 812–820.

3. Giraud-Carrier C: A note on the utility of incremental learning. AI Commun 2000,13(4):215–223.

4. Polikar R: Ensemble based systems in decision making. Circ Syst Mag 2006,6(3):21–45.

5. Tsymbal A: The problem of concept drift: definitions and related work. Computer Science Department, Trinity College Dublin; 2004.

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