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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 / / edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet



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Titolo: Machine Learning and Knowledge Discovery in Databases : 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 Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (798 pages)
Disciplina: 006.31
Soggetto topico: Artificial intelligence
Computers
Application software
Computer organization
Artificial Intelligence
Information Systems and Communication Service
Computer Applications
Computer Systems Organization and Communication Networks
Computing Milieux
Persona (resp. second.): BrefeldUlf
FromontElisa
HothoAndreas
KnobbeArno
MaathuisMarloes
RobardetCéline
Note generali: Includes index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Machine Learning and Knowledge Discovery in Databases  Visualizza cluster
ISBN: 3-030-46150-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910409666003321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 11906