An overview and comprehensive comparison of ensembles for concept drift-Reference-Cited by-同舟云学术

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An overview and comprehensive comparison of ensembles for concept drift

Published:2019-12 Issue: Volume:52 Page:213-244
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Barros Roberto Souto Maior de^ORCID,Santos Silas Garrido T. de Carvalho

Funder

CNPq

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference56 articles.

1. Database mining: a performance perspective;Agrawal;IEEE Trans. Knowl. Data Eng.,1993

2. Paired learners for concept drift;Bach,2008

3. Early drift detection method;Baena-Garcia,2006

4. Advances in data stream mining with concept drift;Barros,2017

5. RDDM: reactive drift detection method;Barros;Expert Syst. Appl.,2017

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