Advanced Analytics and Learning on Temporal Data | 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

Vincent Lemaire (u. a.)

ISBN 10: 3030390977 / ISBN 13: 9783030390976

Editore: Springer, 2020

Advanced Analytics and Learning on Temporal Data | 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers | Vincent Lemaire (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2020 | Springer | EAN 9783030390976 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 117882364

Riassunto:

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Würzburg, Germany, in September 2019.
The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover topics such as temporal data clustering; classification of univariate and multivariate time series; early classification of temporal data; deep learning and learning representations for temporal data; modeling temporal dependencies; advanced forecasting and prediction models; space-temporal statistical analysis; functional data analysis methods; temporal data streams; interpretable time-series analysis methods; dimensionality reduction, sparsity, algorithmic complexity and big data challenge; and bio-informatics, medical, energy consumption, on temporal data.

 

Dati bibliografici

Titolo: Advanced Analytics and Learning on Temporal ...
Casa editrice: Springer
Data di pubblicazione: 2020
Legatura: Taschenbuch
Condizione: Neu