Adaptive Quick Reduct for Feature Drift Detection

Data streams are ubiquitous and related to the proliferation of low-cost mobile devices, sensors, wireless networks and the Internet of Things. While it is well known that complex phenomena are not stationary and exhibit a <i>concept drift</i> when observed for a sufficiently long time,...

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Bibliographic Details
Main Authors: Alessio Ferone, Antonio Maratea
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/14/2/58