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Link zu diesem Datensatz | https://d-nb.info/1339202638 |
Art des Inhalts | Konferenzschrift |
Titel | Recent Trends and Future Challenges in Learning from Data / edited by Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler |
Person(en) |
Davino, Cristina (Herausgeber) Palumbo, Francesco (Herausgeber) Wilhelm, Adalbert (Herausgeber) Kestler, Hans A. (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2024 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2024 |
Umfang/Format | Online-Ressource, X, 153 p. 40 illus., 35 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-54467-5 Printed edition:: ISBN: 978-3-031-54469-9 |
Inhalt | Preface -- Building hierarchies of factors with disjoint factor analysis -- Uncertainty in Latent Trait Models and dimensionality reduction methods for complex data: an analysis of taxpayer perception on the Fiscal System -- The predictivity of access tests for university success -- Asynchronous and synchronous-asynchronous particle swarms -- The impact of the Covid-19 pandemic on modelling volatility and risk analysis of returns in selected European financial markets -- Asymmetric binary regression models for imbalanced datasets: an application to students’ churn -- Computational models supporting decision-making in managing publication activity at Polish universities -- Stability of nonparametric methods for cognitive diagnostic assessment -- SMARTS: SeMi-supervised clustering for Assessment of Reviews using Topic and Sentiment -- The equitable and sustainable wellbeing through the pandemic. A first study to assess changes at local level in Italy -- Choice-Based Optimization under High-Dimensional MNL -- A first glance on co-evolution of Boolean networks to simulate the development of cross-talking systems in molecular biology -- Classification on polish fund market during COVID-19 pandemic - extreme risk modeling approach |
Persistent Identifier |
URN: urn:nbn:de:101:1-2408161238449.285703493649 DOI: 10.1007/978-3-031-54468-2 |
URL | https://doi.org/10.1007/978-3-031-54468-2 |
ISBN/Einband/Preis | 978-3-031-54468-2 |
Sprache(n) | Englisch (eng) |
Beziehungen | Studies in Classification, Data Analysis, and Knowledge Organization |
DDC-Notation | 658.403 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 650 Management |
Online-Zugriff | Archivobjekt öffnen |
