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Modeling Decisions for Artificial Intelligence

11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings

  • Vicenç Torra
  • Yasuo Narukawa
  • Yasunori Endo
Conference proceedings MDAI 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8825)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8825)

Table of contents

  1. Front Matter
  2. Invited Papers

    1. Roger Jardí-Cedó, Macià Mut-Puigserver, M. Magdalena Payeras-Capellà, Jordi Castellà-Roca, Alexandre Viejo
      Pages 1-13
  3. Regular Papers

  4. Inference Systems

  5. Optimization

    1. Hajer Ben-Romdhane, Sihem Ben Jouida, Saoussen Krichen
      Pages 96-107
  6. Clustering and Similarity

    1. Ken Onishi, Naohiko Kinoshita, Yasunori Endo
      Pages 122-134
    2. Yukihiro Hamasuna, Yasunori Endo
      Pages 135-144
    3. Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna
      Pages 145-157
    4. László Szilágyi, Zsuzsa Réka Varga, Sándor Miklós Szilágyi
      Pages 158-169
  7. Data Mining and Data Privacy

    1. H. A. Abeysundara, Hiroshi Hamori, Takeshi Matsui, Masatoshi Sakawa
      Pages 170-181
    2. Gábor Gosztolya, József Dombi
      Pages 182-191
    3. Daniel Cea, Jordi Nin, Rubén Tous, Jordi Torres, Eduard Ayguadé
      Pages 192-203
    4. Guillermo Navarro-Arribas, Vicenç Torra
      Pages 217-226
    5. Xinwang Liu, Jianping Yin, Jun Long
      Pages 227-240
  8. Back Matter

About these proceedings

Introduction

This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.

Keywords

cloud computing complexity decision making evolutionary optimization kernel methods multi-agent systems online algorithms privacy speech recognition support vector machines

Editors and affiliations

  • Vicenç Torra
    • 1
  • Yasuo Narukawa
    • 2
  • Yasunori Endo
    • 3
  1. 1.CSIC, Consejo Superior de Investigaciones CientificasBellaterraSpain
  2. 2.Toho GakuenTokyoJapan
  3. 3.Faculty of Engineering, Information and SystemsUniversity of TsukubaTsukubaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12054-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-12053-9
  • Online ISBN 978-3-319-12054-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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