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Lecture Notes in Artificial Intelligence

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I

Editors: Berlingerio, M., Bonchi, F., Gärtner, Th., Hurley, N., Ifrim, G. (Eds.)

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  • ISBN 978-3-030-10925-7
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Softcover $119.99
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  • ISBN 978-3-030-10924-0
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About this book

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. 

The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.
Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. 
Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Table of contents (44 chapters)

Table of contents (44 chapters)
  • Image Anomaly Detection with Generative Adversarial Networks

    Pages 3-17

    Deecke, Lucas (et al.)

  • Image-to-Markup Generation via Paired Adversarial Learning

    Pages 18-34

    Wu, Jin-Wen (et al.)

  • Toward an Understanding of Adversarial Examples in Clinical Trials

    Pages 35-51

    Papangelou, Konstantinos (et al.)

  • ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

    Pages 52-68

    Chen, Shang-Tse (et al.)

  • GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid

    Pages 71-86

    Hooi, Bryan (et al.)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-030-10925-7
  • 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 978-3-030-10924-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Knowledge Discovery in Databases
Book Subtitle
European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I
Editors
  • Michele Berlingerio
  • Francesco Bonchi
  • Thomas Gärtner
  • Neil Hurley
  • Georgiana Ifrim
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
11051
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-10925-7
DOI
10.1007/978-3-030-10925-7
Softcover ISBN
978-3-030-10924-0
Edition Number
1
Number of Pages
XXXVIII, 740
Number of Illustrations
292 b/w illustrations, 159 illustrations in colour
Topics