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Titolo: |
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
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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 ![]() |
ISBN: | 3-030-46150-5 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996418303103316 |
Lo trovi qui: | Univ. di Salerno |
Opac: | Controlla la disponibilità qui |