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Research and Development in Intelligent Systems XXXI

Incorporating Applications and Innovations in Intelligent Systems XXII

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Max Bramer

    1. University of Portsmouth, Portsmouth, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Miltos Petridis

    1. School of Computing, Eng & Mathematics, University of Brighton, Brighton, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • This volume contains new, refereed papers presented at AI-2014, the Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
  • Presents new and innovative developments and applications, divided into technical and application streams
  • Provides essential reading for those who wish to keep up to date with developments in this important field
  • Includes supplementary material: sn.pub/extras

Included in the following conference series:

Conference proceedings info: SGAI 2014.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Research and Development in Intelligent Systems XXXI Best Technical Paper

    1. Front Matter

      Pages 1-3
      Download chapter PDF

    2. On Ontological Expressivity and Modelling Argumentation Schemes Using COGUI

      • Wael Hamdan, Rady Khazem, Ghaida Rebdawi, Madalina Croitoru, Alain Gutierrez, Patrice Buche
      Pages 5-18

  3. Knowledge Discovery and Data Mining

    1. Front Matter

      Pages 19-19
      Download chapter PDF

    2. Computationally Efficient Rule-Based Classification for Continuous Streaming Data

      • Thien Le, Frederic Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta
      Pages 21-34

    3. Improved Stability of Feature Selection by Combining Instance and Feature Weighting

      • Gabriel Prat, Lluís A. Belanche
      Pages 35-49

    4. Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification

      • Mark Tennant, Frederic Stahl, Giuseppe Di Fatta, João Bártolo Gomes
      Pages 51-65

  4. Machine Learning

    1. Front Matter

      Pages 67-67
      Download chapter PDF

    2. Following the Trail of Source Languages in Literary Translations

      • Carmen Klaussner, Gerard Lynch, Carl Vogel
      Pages 69-84

    3. Reluctant Reinforcement Learning

      • Chris Jones, Malcolm Crowe
      Pages 85-99

    4. Preference and Sentiment Guided Social Recommendations with Temporal Dynamics

      • Xavier Ferrer, Yoke Yie Chen, Nirmalie Wiratunga, Enric Plaza
      Pages 101-116

  5. Agents, Ontologies and Genetic Programming

    1. Front Matter

      Pages 117-117
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    2. Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach

      • Abdallah Arioua, Nouredine Tamani, Madalina Croitoru, Patrice Buche
      Pages 119-133

    3. Benchmarking Grammar-Based Genetic Programming Algorithms

      • Christopher J. Headleand, Llyr Ap Cenydd, William J. Teahan
      Pages 135-148

    4. The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld

      • Martyn Lloyd-Kelly, Peter C. R. Lane, Fernand Gobet
      Pages 149-162

  6. Short Papers

    1. Front Matter

      Pages 163-163
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    2. An Autopoietic Repertoire

      • M. J. Wheatman
      Pages 165-170

    3. De-risking Fleet Replacement Decisions

      • Anne Liret, Amir H. Ansaripoor, Fernando S. Oliveira
      Pages 171-177

    4. Reliability and Effectiveness of Cross-Validation in Feature Selection

      • Ghadah Aldehim, Wenjia Wang
      Pages 179-184

    5. Self-reinforced Meta Learning for Belief Generation

      • Alexandros Gkiokas, Alexandra I. Cristea, Matthew Thorpe
      Pages 185-190
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Other volumes

  1. Research and Development in Intelligent Systems XXXI

Keywords

About this book

The papers in this volume are the refereed papers presented at AI-2014, the Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2014 in both the technical and the application streams.

They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning, and Agents, Ontologies and Genetic Programming, followed by application stream sections on Evolutionary Algorithms/Dynamic Modelling, Planning and Optimisation, and Machine Learning and Data Mining. The volume also includes the text of short papers presented as posters at the conference.

This is the thirty-first volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-second volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Editors and Affiliations

  • University of Portsmouth, Portsmouth, United Kingdom

    Max Bramer

  • School of Computing, Eng & Mathematics, University of Brighton, Brighton, United Kingdom

    Miltos Petridis

Bibliographic Information

  • Book Title: Research and Development in Intelligent Systems XXXI

  • Book Subtitle: Incorporating Applications and Innovations in Intelligent Systems XXII

  • Editors: Max Bramer, Miltos Petridis

  • DOI: https://doi.org/10.1007/978-3-319-12069-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-12068-3Published: 10 November 2014

  • eBook ISBN: 978-3-319-12069-0Published: 30 October 2014

  • Edition Number: 1

  • Number of Pages: XIV, 344

  • Number of Illustrations: 114 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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