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Advanced Analytics and Learning on Temporal Data

Language EnglishEnglish
Book Paperback
Book Advanced Analytics and Learning on Temporal Data Simon Malinowski
Libristo code: 33493404
Publishers Springer Nature Switzerland AG, December 2020
This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics a... Full description
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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.

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About the book

Full name Advanced Analytics and Learning on Temporal Data
Language English
Binding Book - Paperback
Date of issue 2020
Number of pages 244
EAN 9783030657413
ISBN 3030657418
Libristo code 33493404
Weight 376
Dimensions 155 x 235 x 14
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