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Towards Online Concept Drift Detection with Feature Selection for Data Stream Classification.

, , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1549-1550. IOS Press, (2016)

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Scalable real-time classification of data streams with concept drift., , , and . Future Gener. Comput. Syst., (2017)Jmax-pruning: A facility for the information theoretic pruning of modular classification rules., and . Knowl. Based Syst., (2012)Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries., , and . SGAI Conf., volume 10630 of Lecture Notes in Computer Science, page 115-128. Springer, (2017)Computationally Efficient Rule-Based Classification for Continuous Streaming Data., , , , and . SGAI Conf., page 21-34. Springer, (2014)J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules., , and . IFIP AI, volume 331 of IFIP Advances in Information and Communication Technology, page 47-56. Springer, (2010)Adaptive Learning With Extreme Verification Latency in Non-Stationary Environments., , and . IEEE Access, (2022)Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams., , and . IEEE Access, (2021)An overview of the use of neural networks for data mining tasks., and . WIREs Data Mining Knowl. Discov., 2 (3): 193-208 (2012)Towards Online Concept Drift Detection with Feature Selection for Data Stream Classification., , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1549-1550. IOS Press, (2016)On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research., and . SGAI Conf., volume 14381 of Lecture Notes in Computer Science, page 204-209. Springer, (2023)