株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wuerzburg, Germany, September 16-20, 2019, Proceedings, Part I. 1st ed. 2020
商品詳細
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Wuerzburg, Germany, September 16-20, 2019, Proceedings, Part I. 1st ed. 2020
・ISBN 978-3-030-46149-2 paper EUR 97.99
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| 著者・編者 | Brefeld, Ulf / Fromont, Elisa / Hotho, Andreas / Knobbe, Arno / Maathuis, Marloes / Robardet, Celine (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 | 766 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-77271＞ |
解説
The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track.
The contributions were organized in topical sections named as follows:
Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization.
Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.
Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.