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

• Record Nr.: UNISA996418303103316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• ISBN: 3-030-46150-5
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (798 pages)
• Collana: Lecture Notes in Artificial Intelligence ; ; 11906
• Disciplina: 006.31
• Soggetti: Artificial intelligence; Computers; Application software; Computer organization; Artificial Intelligence; Information Systems and Communication Service; Computer Applications; Computer Systems Organization and Communication Networks; Computing Milieux
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• 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.