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Research and Development in Intelligent Systems XXXIII

Incorporating Applications and Innovations in Intelligent Systems XXIV

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Max Bramer

    1. School of Computing, 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, Engineering and 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-2016, the Thirty-sixth 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 2016.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Research and Development in Intelligent Systems XXXIII

    1. Front Matter

      Pages 1-2
      Download chapter PDF

    2. Harnessing Background Knowledge for E-Learning Recommendation

      • Blessing Mbipom, Susan Craw, Stewart Massie
      Pages 3-17

  3. Knowledge Discovery and Data Mining

    1. Front Matter

      Pages 19-19
      Download chapter PDF

    2. Category-Driven Association Rule Mining

      • Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson
      Pages 21-35

    3. A Comparative Study of SAT-Based Itemsets Mining

      • Imen Ouled Dlala, Said Jabbour, Lakhdar Sais, Boutheina Ben Yaghlane
      Pages 37-52

    4. Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes

      • Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa
      Pages 53-67

  4. Sentiment Analysis and Recommendation

    1. Front Matter

      Pages 69-69
      Download chapter PDF

    2. Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter

      • Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, P. Deepak
      Pages 71-85

    3. Context-Aware Sentiment Detection from Ratings

      • Yichao Lu, Ruihai Dong, Barry Smyth
      Pages 87-101

    4. Recommending with Higher-Order Factorization Machines

      • Julian Knoll
      Pages 103-116

  5. Machine Learning

    1. Front Matter

      Pages 117-117
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    2. Multitask Learning for Text Classification with Deep Neural Networks

      • Hossein Ghodrati Noushahr, Samad Ahmadi
      Pages 119-133

    3. An Investigation on Online Versus Batch Learning in Predicting User Behaviour

      • Nikolay Burlutskiy, Miltos Petridis, Andrew Fish, Alexey Chernov, Nour Ali
      Pages 135-149

    4. A Neural Network Test of the Expert Attractor Hypothesis: Chaos Theory Accounts for Individual Variance in Learning

      • P. Chassy
      Pages 151-162

  6. AI Techniques

    1. Front Matter

      Pages 163-163
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    2. A Fast Algorithm to Estimate the Square Root of Probability Density Function

      • Xia Hong, Junbin Gao
      Pages 165-176

    3. 3Dana: Path Planning on 3D Surfaces

      • Pablo Muñoz, María D. R-Moreno, Bonifacio Castaño
      Pages 177-191

  7. Natural Language Processing

    1. Front Matter

      Pages 193-193
      Download chapter PDF

    2. Covert Implementations of the Turing Test: A More Level Playing Field?

      • D. J. H. Burden, M. Savin-Baden, R. Bhakta
      Pages 195-207
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Other volumes

  1. Research and Development in Intelligent Systems XXXIII

Keywords

About this book

The papers in this volume are the refereed papers presented at AI-2016, the Thirty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2016 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, Sentiment Analysis and Recommendation, Machine Learning, AI Techniques, and Natural Language Processing, followed by application stream sections on AI for Medicine and Disability, Legal Liability and Finance, Telecoms and eLearning, and Genetic Algorithms in Action. The volume also includes the text of short papers presented as posters at the conference.

This is the thirty-third volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-fourth 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

  • School of Computing, University of Portsmouth, Portsmouth, United Kingdom

    Max Bramer

  • School of Computing, Engineering and Mathematics, University of Brighton, Brighton, United Kingdom

    Miltos Petridis

Bibliographic Information

  • Book Title: Research and Development in Intelligent Systems XXXIII

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

  • Editors: Max Bramer, Miltos Petridis

  • DOI: https://doi.org/10.1007/978-3-319-47175-4

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing AG 2016

  • Softcover ISBN: 978-3-319-47174-7Published: 05 November 2016

  • eBook ISBN: 978-3-319-47175-4Published: 14 November 2016

  • Edition Number: 1

  • Number of Pages: XIV, 397

  • Number of Illustrations: 98 b/w illustrations

  • Topics: Artificial Intelligence, Data Mining and Knowledge Discovery

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