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Information Systems and Applications, incl. Internet/Web, and HCI

Intelligent Data Engineering and Automated Learning – IDEAL 2019

20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I

Editors: Yin, H., Camacho, D., Tino, P., Tallón-Ballesteros, A.J., Menezes, R., Allmendinger, R. (Eds.)

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eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-33607-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-33606-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019.

The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.

Table of contents (58 chapters)

Table of contents (58 chapters)
  • Orchids Classification Using Spatial Transformer Network with Adaptive Scaling

    Pages 1-10

    Sarachai, Watcharin (et al.)

  • Scalable Dictionary Classifiers for Time Series Classification

    Pages 11-19

    Middlehurst, Matthew (et al.)

  • Optimization of the Numeric and Categorical Attribute Weights in KAMILA Mixed Data Clustering Algorithm

    Pages 20-27

    Martarelli, Nádia Junqueira (et al.)

  • Meaningful Data Sampling for a Faithful Local Explanation Method

    Pages 28-38

    Rasouli, Peyman (et al.)

  • Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor

    Pages 39-46

    López-Pérez, Miguel (et al.)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-33607-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-33606-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Data Engineering and Automated Learning – IDEAL 2019
Book Subtitle
20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I
Editors
  • Hujun Yin
  • David Camacho
  • Peter Tino
  • Antonio J. Tallón-Ballesteros
  • Ronaldo Menezes
  • Richard Allmendinger
Series Title
Information Systems and Applications, incl. Internet/Web, and HCI
Series Volume
11871
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33607-3
DOI
10.1007/978-3-030-33607-3
Softcover ISBN
978-3-030-33606-6
Edition Number
1
Number of Pages
XXII, 554
Number of Illustrations
72 b/w illustrations, 141 illustrations in colour
Topics