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Machine Learning and Knowledge Discovery in Databases [electronic resource] : European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.

Contributor(s): Brefeld, Ulf [editor.] | Fromont, Elisa [editor.] | Hotho, Andreas [editor.] | Knobbe, Arno [editor.] | Maathuis, Marloes [editor.] | Robardet, Céline [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 11906Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XLVI, 766 p. 344 illus., 196 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030461508.Subject(s): Artificial intelligence | Database management | Application software | Computer engineering | Computer networks  | Computers | Artificial Intelligence | Database Management System | Computer and Information Systems Applications | Computer Engineering and Networks | Computing MilieuxAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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