Description
| Summary: | 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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| Item Description: | "This year, ECML-PKDD 2020, was planned to take place in Ghent, Belgium, during September 14-18, 2020, but due to the COVID-19 pandemic it was held in the same time period as a fully virtual event."--Preface
4.1 Experiment 1: Evaluation of a Single Explanation Method.
Includes author index. |
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| Physical Description: | 1 online resource (240 pages) |
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| ISBN: | 9783030657420
3030657426 |
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| Source of Description, Etc. Note: | Online resource; title from PDF title page (SpringerLink, viewed February 17, 2021). |
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