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Improving Modular Classification Rule Induction with G-Prism Using Dynamic Rule Term Boundaries.

, , и . SGAI Conf., том 10630 из Lecture Notes in Computer Science, стр. 115-128. Springer, (2017)

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Другие публикации лиц с тем же именем

Towards a Computationally Efficient Approach to Modular Classification Rule Induction., и . SGAI Conf., стр. 357-362. Springer, (2007)Parallel Induction of Modular Classification Rules., , и . SGAI Conf., стр. 343-348. Springer, (2008)Explainable Boosting Machines for Network Intrusion Detection with Features Reduction., , и . SGAI Conf., том 13652 из Lecture Notes in Computer Science, стр. 280-294. Springer, (2022)A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements., , , и . ICMLA, стр. 935-938. IEEE Computer Society, (2016)A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes., , и . ICMLA, стр. 413-420. IEEE, (2018)Computationally Efficient Rule-Based Classification for Continuous Streaming Data., , , , и . SGAI Conf., стр. 21-34. Springer, (2014)J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules., , и . IFIP AI, том 331 из IFIP Advances in Information and Communication Technology, стр. 47-56. Springer, (2010)Jmax-pruning: A facility for the information theoretic pruning of modular classification rules., и . Knowl. Based Syst., (2012)Towards Online Concept Drift Detection with Feature Selection for Data Stream Classification., , и . ECAI, том 285 из Frontiers in Artificial Intelligence and Applications, стр. 1549-1550. IOS Press, (2016)On Reproducible Implementations in Unsupervised Concept Drift Detection Algorithms Research., и . SGAI Conf., том 14381 из Lecture Notes in Computer Science, стр. 204-209. Springer, (2023)