Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

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Springer International Publishing Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III
Springer International Publishing - Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

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Beschreibung

The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019.

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.

Weitere Informationen

Anmerkung Illustrationen:
157 SW-Abb., 222 Farbabb.
Herausgeber:
Brefeld, Ulf;Brefeld
Fromont, Elisa;Fromont
Hotho, Andreas;Hotho
Knobbe, Arno;Knobbe
Maathuis, Marloes;Maathuis
Robardet, Céline;Robardet
Medientyp:
Taschenbuch
Verlag:
Springer International Publishing
Sprache:
Englisch
Seitenanzahl:
804

Stammdaten

Produkttyp:
Taschenbuch
Verpackungsabmessungen:
0.234 x 0.156 x 0.042 m; 0.505 kg
GTIN:
09783030461324
DUIN:
L84BJEH1KND
€ 92,78
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