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Cost efficient, adaptive reasoning strategies for pervasive service discovery., , and . ICPS, page 11-20. ACM, (2009)A fine-grained Random Forests using class decomposition: an application to medical diagnosis., and . Neural Comput. Appl., 27 (8): 2279-2288 (2016)Activity Recognition with Evolving Data Streams: A Review., , , and . ACM Comput. Surv., 51 (4): 71:1-71:36 (2018)Advances in data stream mining for mobile and ubiquitous environments., , and . CIKM, page 2607-2608. ACM, (2011)An overview of interactive visual data mining techniques for knowledge discovery., , , and . WIREs Data Mining Knowl. Discov., 3 (4): 239-256 (2013)Mining data streams: a review, , and . ACM Sigmod Record, 34 (2): 18--26 (2005)A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests., , and . SGAI Conf., page 25-41. Springer, (2015)Clutter-Adaptive Visualization for Mobile Data Mining., , , , , , , and . ICDM Workshops, page 1381-1384. IEEE Computer Society, (2010)CBARS: Cluster Based Classification for Activity Recognition Systems., , , and . AMLTA, volume 322 of Communications in Computer and Information Science, page 82-91. Springer, (2012)Semantisation of rules for automated compliance checking., , , , , , and . LDAC, volume 3633 of CEUR Workshop Proceedings, page 245-246. CEUR-WS.org, (2023)