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商品詳細
Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Wuerzburg, Germany, September 20, 2019, Revised Selected Papers. 2020 ed.
・ISBN 978-3-030-39097-6 paper EUR 49.99
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| 著者・編者 | Lemaire, Vincent / Malinowski, Simon / Bagnall, Anthony / Bondu, Alexis / Guyet, Thomas / Tavenard, Romain (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 229 pp. |
| 言語 | ENG |
| ニュース番号 | <A01-77973> |
解説
This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Wuerzburg, Germany, in September 2019.
The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions. The papers cover 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, on temporal data.