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Monotonic classification: an overview on algorithms, performance measures and data sets.

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Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams., и . SMC, стр. 2147-2152. IEEE, (2015)Experiments on simultaneous combination rule training and ensemble pruning algorithm., и . CIEL, стр. 1-6. IEEE, (2014)Leveraging Ensemble Pruning for Imbalanced Data Classification., и . SMC, стр. 439-444. IEEE, (2018)Reacting to different types of concept drift with adaptive and incremental one-class classifiers., и . CYBCONF, стр. 30-35. IEEE, (2015)Online query by committee for active learning from drifting data streams., и . IJCNN, стр. 2120-2127. IEEE, (2017)Combining nearest neighbour classifiers based on small subsamples for big data analytics., и . CYBCONF, стр. 311-316. IEEE, (2015)Incremental Learning and Forgetting in One-Class Classifiers for Data Streams., и . CORES, том 226 из Advances in Intelligent Systems and Computing, стр. 319-328. Springer, (2013)Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity., и . HAIS, том 11734 из Lecture Notes in Computer Science, стр. 287-298. Springer, (2019)Imbalanced Data Classification Based on Feature Selection Techniques., и . IDEAL (2), том 11315 из Lecture Notes in Computer Science, стр. 296-303. Springer, (2018)On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition., и . CSOC (2), том 465 из Advances in Intelligent Systems and Computing, стр. 193-201. Springer, (2016)