Analyzing and repairing concept drift adaptation in data stream classification
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DOI: 10.1007/s10994-021-05993-w
Abstract: Data collected over time often exhibit changes in distribution, or concept drift, caused by changes in factors relevant to the classification task, e.g. weather conditions. Incorporating all relevant factors into the model may be able… read more here.
Keywords: drift adaptation; data stream; concept drift; drift ... See more keywords
Concept Drift Adaptation Methods under the Deep Learning Framework: A Literature Review
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DOI: 10.3390/app13116515
Abstract: With the advent of the fourth industrial revolution, data-driven decision making has also become an integral part of decision making. At the same time, deep learning is one of the core technologies of the fourth… read more here.
Keywords: adaptation methods; concept drift; deep learning; drift adaptation ... See more keywords