Extended! eBooks from the 'Springer Archives' only $8.99 each–save now!

Lecture Notes in Artificial Intelligence
cover

Advanced Analytics and Learning on Temporal Data

5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

Editors: Lemaire, V., Malinowski, S., Bagnall, A., Guyet, Th., Tavenard, R., Ifrim, G. (Eds.)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-3-030-65742-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-65741-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0)

    Pages 3-18

    Bagnall, Anthony (et al.)

  • Ordinal Versus Nominal Time Series Classification

    Pages 19-29

    Guijo-Rubio, David (et al.)

  • Generalized Chronicles for Temporal Sequence Classification

    Pages 30-45

    Dauxais, Yann (et al.)

  • Demand Forecasting in the Presence of Privileged Information

    Pages 46-62

    Ariannezhad, Mozhdeh (et al.)

  • GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting

    Pages 63-76

    Salort Sánchez, Carlos (et al.)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-3-030-65742-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-65741-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Advanced Analytics and Learning on Temporal Data
Book Subtitle
5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
Editors
  • Vincent Lemaire
  • Simon Malinowski
  • Anthony Bagnall
  • Thomas Guyet
  • Romain Tavenard
  • Georgiana Ifrim
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
12588
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-65742-0
DOI
10.1007/978-3-030-65742-0
Softcover ISBN
978-3-030-65741-3
Edition Number
1
Number of Pages
X, 233
Number of Illustrations
21 b/w illustrations, 67 illustrations in colour
Topics