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  • Conference proceedings
  • © 2019

Intelligent Data Engineering and Automated Learning – IDEAL 2019

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

Editors:

  1. Hujun Yin

    1. University of Manchester, Manchester, UK

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  2. David Camacho

    1. Technical University of Madrid, Madrid, Spain

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  3. Peter Tino

    1. University of Birmingham, Birmingham, UK

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  4. Antonio J. Tallón-Ballesteros

    1. University of Huelva, Huelva, Spain

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  5. Ronaldo Menezes

    1. University of Exeter, Exeter, UK

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  6. Richard Allmendinger

    1. University of Manchester, Manchester, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11871)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Conference series link(s): IDEAL: International Conference on Intelligent Data Engineering and Automated Learning

Conference proceedings info: IDEAL 2019.

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Table of contents (58 papers)

  1. Front Matter

    Pages i-xxii
    PDF

  2. Orchids Classification Using Spatial Transformer Network with Adaptive Scaling

    • Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom
    Pages 1-10

  3. Scalable Dictionary Classifiers for Time Series Classification

    • Matthew Middlehurst, William Vickers, Anthony Bagnall
    Pages 11-19

  5. Meaningful Data Sampling for a Faithful Local Explanation Method

    • Peyman Rasouli, Ingrid Chieh Yu
    Pages 28-38

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

    • Miguel López-Pérez, Adrián Colomer, María A. Sales, Rafael Molina, Valery Naranjo
    Pages 39-46

  7. Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks

    • Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo
    Pages 47-59

  8. Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion

    • Luís Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau
    Pages 60-67

  9. Modeling Data Driven Interactions on Property Graph

    • Worapol Alex Pongpech
    Pages 68-75

  10. Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”

    • Nico Migenda, Ralf Möller, Wolfram Schenck
    Pages 76-84

  11. Relevance Metric for Counterfactuals Selection in Decision Trees

    • Rubén R. Fernández, Isaac Martín de Diego, Víctor Aceña, Javier M. Moguerza, Alberto Fernández-Isabel
    Pages 85-93

  12. Weighted Nearest Centroid Neighbourhood

    • Víctor Aceña, Javier M. Moguerza, Isaac Martín de Diego, Rubén R. Fernández
    Pages 94-101

  13. The Prevalence of Errors in Machine Learning Experiments

    • Martin Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell et al.
    Pages 102-109

  14. A Hybrid Model for Fraud Detection on Purchase Orders

    • William Ferreira Moreno Oliverio, Allan Barcelos Silva, Sandro José Rigo, Rodolpho Lopes Bezerra da Costa
    Pages 110-120

  15. Users Intention Based on Twitter Features Using Text Analytics

    • Qadri Mishael, Aladdin Ayesh, Iryna Yevseyeva
    Pages 121-128

  16. Mixing Hetero- and Homogeneous Models in Weighted Ensembles

    • James Large, Anthony Bagnall
    Pages 129-136

  17. A Hybrid Approach to Time Series Classification with Shapelets

    • David Guijo-Rubio, Pedro A. Gutiérrez, Romain Tavenard, Anthony Bagnall
    Pages 137-144

  18. An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification

    • Alfonso Hernández, Ángel Panizo, David Camacho
    Pages 145-154

  20. Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis

    • Aleksandra Vatian, Anna Tatarinova, Svyatoslav Osipov, Nikolai Egorov, Vitalii Boitsov, Elena Ryngach et al.
    Pages 166-174
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Other Volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2019

  2. Intelligent Data Engineering and Automated Learning – IDEAL 2019

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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.

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Keywords

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Editors and Affiliations

  • University of Manchester, Manchester, UK

    Hujun Yin, Richard Allmendinger

  • Technical University of Madrid, Madrid, Spain

    David Camacho

  • University of Birmingham, Birmingham, UK

    Peter Tino

  • University of Huelva, Huelva, Spain

    Antonio J. Tallón-Ballesteros

  • University of Exeter, Exeter, UK

    Ronaldo Menezes

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Bibliographic Information

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Policies and ethics

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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