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Evaluation methods and decision theory for classification of streaming data with temporal dependence.

, , , , and . Mach. Learn., 98 (3): 455-482 (2015)

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Mining Frequent Closed Unordered Trees Through Natural Representations, , and . Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), volume 4604 of Lecture Notes in Artificial Intelligence, page 347-359. Berlin, Heidelberg, Springer-Verlag, (July 2007)Large-Scale Learning from Data Streams with Apache SAMOA., , and . CoRR, (2018)GNUsmail: Open Framework for On-line Email Classification., , , , and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 1141-1142. IOS Press, (2010)Drift Detection Using Stream Volatility., , , and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 417-432. Springer, (2015)Recurring concept meta-learning for evolving data streams., , , and . Expert Syst. Appl., (2019)Resource-Aware Edge-Based Stream Analytics., , , , and . IEEE Internet Comput., 26 (4): 79-88 (2022)CURIE: A Cellular Automaton for Concept Drift Detection., , , , and . CoRR, (2020)Preface., , , and . BigMine, volume 41 of JMLR Workshop and Conference Proceedings, page 4. JMLR.org, (2015)Merit-guided dynamic feature selection filter for data streams., , , , and . Expert Syst. Appl., (2019)On Dynamic Feature Weighting for Feature Drifting Data Streams., , , , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 129-144. Springer, (2016)