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Lecture Notes in Artificial Intelligence

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

Editors: Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M., Robardet, C. (Eds.)

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  • ISBN 978-3-030-46147-8
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Softcover $119.99
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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.

Table of contents (43 chapters)

Table of contents (43 chapters)
  • Exploiting the Earth’s Spherical Geometry to Geolocate Images

    Pages 3-19

    Izbicki, Mike (et al.)

  • Continual Rare-Class Recognition with Emerging Novel Subclasses

    Pages 20-36

    Nguyen, Hung (et al.)

  • Unjustified Classification Regions and Counterfactual Explanations in Machine Learning

    Pages 37-54

    Laugel, Thibault (et al.)

  • Shift Happens: Adjusting Classifiers

    Pages 55-70

    Heiser, Theodore James Thibault (et al.)

  • Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data

    Pages 71-85

    Bekker, Jessa (et al.)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-3-030-46147-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
  • ISBN 978-3-030-46146-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

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 Artificial Intelligence
Series Volume
11907
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-46147-8
DOI
10.1007/978-3-030-46147-8
Softcover ISBN
978-3-030-46146-1
Edition Number
1
Number of Pages
XXVI, 732
Number of Illustrations
123 b/w illustrations, 191 illustrations in colour
Topics