A comprehensive analysis of concept drift locality in data streams
Adapting to drifting data streams is a significant challenge in online learning. Concept drift
must be detected for effective model adaptation to evolving data properties. Concept drift …
must be detected for effective model adaptation to evolving data properties. Concept drift …
An Adaptive Hoeffding Tree Model Based on Differential Entropy and Relative Entropy for Concept Drift Detection
W Liu, X Li, Y Gu, J Li, X Tang, R Cao… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
The concept drift detection algorithm can timely respond to and adjust the model by
monitoring changes in data distribution over time. However, the dynamically adjusted …
monitoring changes in data distribution over time. However, the dynamically adjusted …