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Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning and Knowledge Discovery in Databases/ edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.
其他題名:	European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
其他作者:	Robardet, Céline.
面頁冊數:	XLVI, 766 p. 344 illus., 196 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computing Milieux. -
電子資源:	https://doi.org/10.1007/978-3-030-46150-8
ISBN:	9783030461508

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /[electronic resource] :edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet. - 1st ed. 2020. - XLVI, 766 p. 344 illus., 196 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11906. - Lecture Notes in Artificial Intelligence ;9285.

Pattern Mining -- Clustering, Anomaly and Outlier Detection, and Autoencoders -- Dimensionality Reduction and Feature Selection -- Social Networks and Graphs -- Decision Trees, Interpretability, and Causality -- Strings and Streams -- Privacy and Security -- Optimization.

Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

ISBN: 9783030461508

Standard No.: 10.1007/978-3-030-46150-8doiSubjects--Topical Terms:

669921
Computing Milieux.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I /
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