An iterative boosting-based ensemble for streaming data classification

•The IBS ensemble bases on iteratively applying boosting to learn from data stream.•IBS adjusts to new concept by gathering knowledge according to its current accuracy.•Adding more base learners when accuracy is low helps IBS recover fast from drifts.•IBS join features from batch and online algorith...

Full description

Bibliographic Details

Published in:	Information fusion Vol. 45; pp. 66 - 78
Main Authors:	Bertini Junior, João Roberto, Nicoletti, Maria do Carmo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2019
Subjects:	Boosting algorithms Data stream classification Ensemble learning Incremental learning Incremental learning Ensemble learning Data stream classification Boosting algorithms
ISSN:	1566-2535, 1872-6305
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!