Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11907)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2019.
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About this book
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.
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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Keywords
- artificial intelligence
- bayesian networks
- classification
- classification methods
- computer networks
- computer systems
- correlation analysis
- data mining
- data security
- databases
- image processing
- image reconstruction
- information retrieval
- machine learning
- neural networks
- semantics
- sensors
- signal processing
- wireless telecommunication systems
Table of contents (43 papers)
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Front Matter
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Supervised Learning
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Front Matter
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Deep Learning
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Front Matter
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Other volumes
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Editors: Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-46147-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-46146-1Published: 02 May 2020
eBook ISBN: 978-3-030-46147-8Published: 01 May 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 732
Number of Illustrations: 123 b/w illustrations, 191 illustrations in colour
Topics: Artificial Intelligence, Computer Applications, Computing Milieux, Information Systems and Communication Service, Computer Systems Organization and Communication Networks
