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Challenges in Mining Evolving Data Streams

. Tutorial at the 15th Int. Conf. on Knowledge Technologies and Data-Driven Business (i-KNOW 2015), Graz, Austria, (2015)

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Temporal Aspects of Stream Active Learning, , and . (2016)Online Clustering of High-Dimensional Trajectories under Concept Drift., , and . ECML/PKDD (2), volume 6912 of Lecture Notes in Computer Science, page 261-276. Springer, (2011)Clustering-Based Optimised Probabilistic Active Learning (COPAL)., , and . Discovery Science, volume 9356 of Lecture Notes in Computer Science, page 101-115. Springer, (2015)Toward optimal probabilistic active learning using a Bayesian approach., , , , , and . Mach. Learn., 110 (6): 1199-1231 (2021)Implementation of and experimental software for active selection of classification features., , and . Softw. Impacts, (2021)Stream-based active learning for sliding windows under the influence of verification latency, , , and . Machine Learning, 111 (6): 2011--2036 (2022)Tutorial: Interactive Adaptive Learning., , , and . IAL@PKDD/ECML, volume 3470 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2023)Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques., , , , and . LAK, page 462-471. ACM, (2020)The conference was reorganized to a virtual event due to the international COVID-19 health crisis..Classification in Presence of Drift and Latency., and . ICDM Workshops, page 596-603. IEEE Computer Society, (2011)Learning from monitoring unlabelled data under large verification latency, and . (2016)