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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Full title: Advanced Analytics and Learning on Temporal Data
• Author: Simon Malinowski, Georgiana Ifrim, Thomas Guyet, Romain Tavenard, Anthony Bagnall
• Language: English
• Binding: Paperback
• Number of pages: 244
• EAN: 9783030657413
• ISBN: 3030657418
• ID: 33493404
• Publisher: Springer Nature Switzerland AG
• Weight: 376 g
• Dimensions: 235 × 155 × 14 mm
• Date of publishing: 16. December 2020

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