Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers: 12588 (Lecture Notes in Artificial Intelligence) - Tapa blanda

 
9783030657413: Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers: 12588 (Lecture Notes in Artificial Intelligence)
Tapa blanda
ISBN 10: 3030657418 ISBN 13: 9783030657413
Editorial: Springer, 2020

Sinopsis

This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020.

The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions. The selected papers are devoted to 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, Temporal Data.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030657418
ISBN 13 
9783030657413
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
244
Editor
Lemaire Vincent, Malinowski Simon, Bagnall Anthony, Guyet Thomas, Tavenard Romain, Ifrim Georgiana
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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