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The MOA Data Stream Mining Tool: A Mid-Term Report.. MLSDA@AUS-AI, page 3. ACM, (2013)Semi-supervised Learning Using Siamese Networks., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 586-597. Springer, (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)Transferring sentiment knowledge between words and tweets., , and . Web Intell., 16 (4): 203-220 (2018)Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams., , and . CITA, page 130-36. (2005)Efficient Online Evaluation of Big Data Stream Classifiers., , , , and . KDD, page 59-68. ACM, (2015)MOA Concept Drift Active Learning Strategies for Streaming Data., , , and . WAPA, volume 17 of JMLR Proceedings, page 48-55. JMLR.org, (2011)WEKA - A Machine Learning Workbench for Data Mining., , , , and . The Data Mining and Knowledge Discovery Handbook, Springer, (2005)Streaming Multi-label Classification., , , and . WAPA, volume 17 of JMLR Proceedings, page 19-25. JMLR.org, (2011)Multinomial Naive Bayes for Text Categorization Revisited., , , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 488-499. Springer, (2004)