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Intelligent Data Engineering and Automated Learning – IDEAL 2019

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

  • Hujun Yin
  • David Camacho
  • Peter Tino
  • Antonio J. Tallón-Ballesteros
  • Ronaldo Menezes
  • Richard Allmendinger
Conference proceedings IDEAL 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11872)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11872)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Special Session on Fuzzy Systems and Intelligent Data Analysis

    1. Front Matter
      Pages 1-1
    2. Dmitry Frolov, Susana Nascimento, Trevor Fenner, Zina Taran, Boris Mirkin
      Pages 3-11
  3. Special Session on Machine Learning Towards Smarter Multimodal Systems

    1. Front Matter
      Pages 21-21
    2. Rui Rodrigues, Rui Neves Madeira, Nuno Correia, Carla Fernandes, Sara Ribeiro
      Pages 23-30
    3. Chris Rhodes, Richard Allmendinger, Ricardo Climent
      Pages 31-42
  4. Special Session on Data Selection in Machine Learning

    1. Front Matter
      Pages 43-43
    2. Samuel Egunjobi, Simon Parkinson, Andrew Crampton
      Pages 45-52
    3. Svetlana Simić, Ljiljana Radmilo, Dragan Simić, Svetislav D. Simić, Antonio J. Tallón-Ballesteros
      Pages 70-77
    4. Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin
      Pages 78-86
  5. Special Session on Machine Learning in Healthcare

    1. Front Matter
      Pages 87-87
    2. Richard Torres-Molina, Carlos Bustamante-Orellana, Andrés Riofrío-Valdivieso, Francisco Quinga-Socasi, Robinson Guachi, Lorena Guachi-Guachi
      Pages 89-96
    3. David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro A. Gutiérrez, Maria Dolores Ayllón, Javier Briceño, César Hervás-Martínez
      Pages 97-104
    4. Pedro Pons, Reinier Noorda, Andrea Nevárez, Adrián Colomer, Vicente Pons Beltrán, Valery Naranjo
      Pages 105-113
    5. Philippa Grace McCabe, Ivan Olier, Sandra Ortega-Martorell, Ian Jarman, Vasilios Baltzopoulos, Paulo Lisboa
      Pages 114-122
    6. Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Ken W. Dunn
      Pages 123-131
    7. Sabrina Marnell, Patrick Riley, Ivan Olier, Marc Rea, Sandra Ortega-Martorell
      Pages 132-138
  6. Special Session on Machine Learning in Automatic Control

    1. Front Matter
      Pages 139-139
    2. Sampo Kuutti, Richard Bowden, Harita Joshi, Robert de Temple, Saber Fallah
      Pages 150-160
    3. D. Marón, M. Santos
      Pages 161-168
    4. J. Enrique Sierra-Garcia, Matilde Santos, Juan G. Victores
      Pages 169-177
  7. Special Session on Finance and Data Mining

    1. Front Matter
      Pages 179-179
    2. Ahmed K. Taha, Mohamed H. Kholief, Walid AbdelMoez
      Pages 191-199
  8. Special Session on Knowledge Discovery from Data

    1. Front Matter
      Pages 201-201
    2. Livio Cascone, Pietro Ducange, Francesco Marcelloni
      Pages 203-215
    3. Nishant Gurrapadi, Lydia Taw, Mariana Macedo, Marcos Oliveira, Diego Pinheiro, Carmelo Bastos-Filho et al.
      Pages 216-224
    4. Alfredo Cuzzocrea, Enzo Mumolo, Carson K. Leung, Giorgio Mario Grasso
      Pages 225-237
    5. Valeria Fionda, Gianluigi Greco
      Pages 238-248
    6. Michael Flynn, Anthony Bagnall
      Pages 249-258
    7. Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro
      Pages 259-270
    8. José Carlos Coutinho, João Mendes Moreira, Cláudio Rebelo de Sá
      Pages 271-279
    9. Ramón Moreno, Juan Carlos Pereira, Alex López, Asif Mohammed, Prasha Pahlevannejad
      Pages 280-290
  9. Special Session on Machine Learning Algorithms for Hard Problems

    1. Front Matter
      Pages 291-291
    2. Seetah ALSalamah, Riza Batista-Navarro, Ross D. King
      Pages 293-304
    3. Bogdan Gulowaty, Paweł Ksieniewicz
      Pages 305-312
    4. Alfredo Cuzzocrea, Giosué Lo Bosco, Giovanni Pilato, Daniele Schicchi
      Pages 313-322
    5. Jȩdrzej Kozal, Paweł Ksieniewicz
      Pages 323-331
    6. Paweł Ksieniewicz, Michał Choraś, Rafał Kozik, Michał Woźniak
      Pages 332-339
    7. Jakub Klikowski, Paweł Ksieniewicz, Michał Woźniak
      Pages 340-352
  10. Back Matter
    Pages 361-364

Other volumes

  1. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I
  2. Intelligent Data Engineering and Automated Learning – IDEAL 2019
    20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II

About these proceedings

Introduction

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.

Keywords

artificial intelligence computer network computer science computer systems computer vision data mining databases deep learning hci health informatics human-computer interaction image processing information retrieval machine learning neural networks pattern recognition signal processing

Editors and affiliations

  1. 1.University of ManchesterManchesterUK
  2. 2.Technical University of MadridMadridSpain
  3. 3.University of BirminghamBirminghamUK
  4. 4.University of HuelvaHuelvaSpain
  5. 5.University of ExeterExeterUK
  6. 6.University of ManchesterManchesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33617-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-33616-5
  • Online ISBN 978-3-030-33617-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site