Detecting concept drift in data streams using model explanation

•A novel concept drift detector for data streams is proposed.•The drift detector can be combined with an arbitrary classification algorithm.•The drift detector uses model explanation to detect concept drift.•The approach features good drift detection, accuracy, robustness and sensitivity.•Interpreta...

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Bibliographic Details
Published in:Expert systems with applications Vol. 92; pp. 546 - 559
Main Authors: Demšar, Jaka, Bosnić, Zoran
Format: Journal Article
Language:English
Published: New York Elsevier Ltd 01.02.2018
Elsevier BV
Subjects:
ISSN:0957-4174, 1873-6793
Online Access:Get full text
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