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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

Vincent Lemaire editor Georgiana Ifrim editor Simon Malinowski editor Anthony Bagnall editor Thomas Guyet editor Romain Tavenard editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:1st Dec '21

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Advanced Analytics and Learning on Temporal Data cover

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.

 

 


ISBN: 9783030914448

Dimensions: unknown

Weight: unknown

195 pages

1st ed. 2021