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

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 caref...

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Bibliographic Details
Other Authors: Brefeld, Ulf (Editor), Fromont, Elisa (Editor), Hotho, Andreas (Editor), Knobbe, Arno (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Lecture Notes in Artificial Intelligence
Subjects:
Database Management System
Artificial Intelligence
Computers
Application Software
Computer Networks 
Computer Engineering And Networks
Computer Engineering
Computer And Information Systems Applications
Database Management
Computing Milieux
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Machine Learning and Knowledge Discovery in Databases  |h Elektronische Ressource  |b European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III  |c edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet 
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505 0 |a 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 
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700 1 |a Hotho, Andreas  |e [editor] 
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520 |a 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 

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