Machine Learning and Knowledge Discovery in Databases by Mass... - 9783031263866
£67.47
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2022, Grenoble, France, September 1923, 2022, Proceedings, Part I\nAuthor(s): Massih-Reza Amini, Stphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas\nFormat: Paperback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031263866, 978-3031263866\nSynopsis\nThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September [url] 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions.\n\nThe volumes are organized in topical sections as follows:\n\nPart I: Clustering and dimensionality reduction; anomaly detection; inter.
Machine Learning and Knowledge Discovery in Databases by Mass... - 9783031263866
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2022, Grenoble, France, September 1923, 2022, Proceedings, Part I\nAuthor(s): Massih-Reza Amini, Stphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas\nFormat: Paperback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031263866, 978-3031263866\nSynopsis\nThe multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September [url] 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions.\n\nThe volumes are organized in topical sections as follows:\n\nPart I: Clustering and dimensionality reduction; anomaly detection; inter.
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