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Learning drifting concepts: Example selection vs. example weighting.. Intell. Data Anal., 8 (3): 281-300 (2004)Knowledge discovery from data streams., , and . Intell. Data Anal., 12 (3): 251-252 (2008)Evolutionary Feature Space Transformation Using Type-Restricted Generators., and . GECCO, volume 2724 of Lecture Notes in Computer Science, page 1606-1607. Springer, (2003)Concept Drift and the Importance of Example., and . Text Mining, Physica-Verlag, (2003)Boosting classifiers for drifting concepts., and . Intell. Data Anal., 11 (1): 3-28 (2007)Detecting Concept Drift with Support Vector Machines., and . ICML, page 487-494. Morgan Kaufmann, (2000)Defining software architectures for big data enabled operator support systems., , , , , , and . INDIN, page 1288-1292. IEEE, (2016)Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics., , , , and . LWA, page 12. Martin-Luther-University Halle-Wittenberg, (2007)YALE: rapid prototyping for complex data mining tasks., , , , and . KDD, page 935-940. ACM, (2006)Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift.. LWA, page 164-171. DFKI, (2005)