Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings: 11908 - Brossura

Brossura

ISBN 10: 3030461327 ISBN 13: 9783030461324

Casa editrice: Springer-Nature New York Inc, 2020

Riassunto

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.<p>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. </p><p>The contributions were organized in topical sections named as follows:</p><p>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.</p><p>Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.</p><p>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.</p>

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030461327
• ISBN 13: 9783030461324
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 832
• Redattore: Brefeld Ulf, Fromont Elisa, Hotho Andreas, Knobbe Arno, Maathuis Marloes
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania