Dynamic swarm class rebalancing for the process mining of rare events
Author:
Funder
University of Macau
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-020-03500-x.pdf
Reference61 articles.
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3. Amin A et al (2016) Comparing oversampling techniques to handle the class imbalance problem: a customer churn prediction case study. IEEE Access 4:7940–7957
4. Yu H, Ni J, Zhao J (2013) ACOSampling: an ant colony optimization-based undersampling method for classifying imbalanced DNA microarray data. Neurocomputing 101:309–318
5. Mazurowski MA et al (2008) Training neural network classifiers for medical decision making: the effects of imbalanced datasets on classification performance. Neural netw 21(2):427–436
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