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Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers

Edited by Vincent Lemaire, Edited by Simon Malinowski, Edited by Anthony Bagnall, Edited by Thomas Guyet, Edited by Romain Tavenard, Edited by Georgiana Ifrim

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This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection.    

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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Nature Switzerland AG
Published date | 1 Dec 2021
Language |
Format | Paperback / softback
Pages | 195
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0309-1444-8
Readership Age |
BISAC | computers / artificial intelligence


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Normally shipped | Available from overseas. Usually dispatched in 14 days
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Normal Price | R 2,531.95
Price | R 2,404.95 | on special |



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