Drift mining in data: a framework for addressing drift in classification
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Publication:2359494
DOI10.1016/j.csda.2012.07.007zbMath1365.62239OpenAlexW2038616484MaRDI QIDQ2359494
Publication date: 29 June 2017
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2012.07.007
Related Items (4)
Adapting a classification rule to local and global shift when only unlabelled data are available ⋮ Stream-based active learning for sliding windows under the influence of verification latency ⋮ Unnamed Item ⋮ Unnamed Item
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