Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13114)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: AALTD 2021.
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About this book
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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Table of contents (12 papers)
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Oral Presentation
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Poster Presentation
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Advanced Analytics and Learning on Temporal Data
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Analytics and Learning on Temporal Data
Book Subtitle: 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers
Editors: Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-91445-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-91444-8Published: 01 December 2021
eBook ISBN: 978-3-030-91445-5Published: 02 December 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 195
Number of Illustrations: 11 b/w illustrations, 57 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Computers and Education