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A SAT-based Framework for Efficient Constrained Clustering., , и . SDM, стр. 94-105. SIAM, (2010)Coverage-based Outlier Explanation., , и . CoRR, (2019)Data preparation using data quality matrices for classification mining., и . Eur. J. Oper. Res., 197 (2): 764-772 (2009)Batch Mode Active Sampling Based on Marginal Probability Distribution Matching., , , , , и . ACM Trans. Knowl. Discov. Data, 7 (3): 13:1-13:25 (2013)A Framework for Deep Constrained Clustering - Algorithms and Advances., , и . ECML/PKDD (1), том 11906 из Lecture Notes in Computer Science, стр. 57-72. Springer, (2019)Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections., , , и . Soc. Netw. Anal. Min., 10 (1): 6 (2020)Image Constrained Blockmodelling: A Constraint Programming Approach., , , , , , и . SDM, стр. 19-27. SIAM, (2018)On The Equivalence of Tries and Dendrograms - Efficient Hierarchical Clustering of Traffic Data., и . CoRR, (2018)Multi-source domain adaptation and its application to early detection of fatigue., , , , и . KDD, стр. 717-725. ACM, (2011)Reverse testing: an efficient framework to select amongst classifiers under sample selection bias., и . KDD, стр. 147-156. ACM, (2006)