Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11906)
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 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.
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Keywords
- artificial intelligence
- classification
- computer networks
- computer systems
- computer vision
- data mining
- data security
- Human-Computer Interaction (HCI)
- image analysis
- image processing
- image reconstruction
- information retrieval
- machine learning
- network protocols
- neural networks
- signal processing
- telecommunication systems
- theoretical computer science
- wireless telecommunication systems
Table of contents (44 papers)
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Clustering, Anomaly and Outlier Detection, and Autoencoders
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 I
Editors: Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-46150-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-46149-2Published: 02 May 2020
eBook ISBN: 978-3-030-46150-8Published: 01 May 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLVI, 766
Number of Illustrations: 148 b/w illustrations, 196 illustrations in colour
Topics: Artificial Intelligence, Information Systems and Communication Service, Computer Applications, Computer Systems Organization and Communication Networks, Computing Milieux