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Research article

First published 2023-3

Multi-granularity user interest modeling and interest drift detection

Hui Chen, Jian Huang, Qingshan Deng [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2016-11

A novel concept drift detection method in data streams using ensemble classifiers

Mahdie Dehghan, Hamid Beigy, Poorya ZareMoodi

Intelligent Data Analysis: An International Journal

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Research article

First published 2014-5

Detecting concept drift: An information entropy based method using an adaptive sliding window

Lei Du, Qinbao Song, Xiaolin Jia

Intelligent Data Analysis: An International Journal

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Research article

First published 2025-10

Concept drift detection and visualization with shifting window

Honorius Gâlmeanu, Răzvan Andonie

Information Visualization

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Research article

First published 2021-11

Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification

Hanqing Hu, Mehmed Kantardzic

Intelligent Decision Technologies

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Research article

First published 2017-1-30

Parallel dynamic data-driven model for concept drift detection and prediction

Szu-Yin Lin, Yao-Ching Chiu, Jacek Lewandowski [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2016-10

Parameter Drift Detection in Multidimensional Computerized Adaptive Testing Based on Informational Distance/Divergence Measures

Hyeon-Ah Kang, Hua-Hua Chang

Applied Psychological Measurement

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Research article

First published 2009

Detecting Differential Drift in Weigh-in-Motion Wheel Track Sensors

Andrew P. Nichols, Darcy Bullock, William Schneider

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 1998-03

A Comparison of Procedures to Detect Item Parameter Drift

John R. Donoghue, Steven P. Isham

Applied Psychological Measurement

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Research article

First published 2011-9

Classifying evolving data streams with partially labeled data

Hanen Borchani, Pedro Larrañaga, Concha Bielza

Intelligent Data Analysis: An International Journal

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