New Trends in Computational Collective Intelligence

  • David Camacho
  • Sang-Wook Kim
  • Bogdan Trawiński

Part of the Studies in Computational Intelligence book series (SCI, volume 572)

Table of contents

  1. Front Matter
    Pages 1-9
  2. Language and Knowledge Processing

    1. Front Matter
      Pages 1-1
    2. Ezgi Yıldırım, Ahmet Cüneyd Tantuğ
      Pages 15-26
    3. Moamin A. Mahmoud, Mohd Sharifuddin Ahmad, Mohd Zaliman M. Yusoff, Aida Mustapha
      Pages 51-61
    4. Rafał Kern, Grzegorz Dobrowolski, Ngoc Thanh Nguyen
      Pages 63-73
  3. Data Mining Methods and Applications

    1. Front Matter
      Pages 75-75
    2. Parivash Pirasteh, Jason J. Jung, Dosam Hwang
      Pages 77-82
    3. Adnan Amin, Saeed Shehzad, Changez Khan, Imtiaz Ali, Sajid Anwar
      Pages 83-95
    4. Mary Wu, SungYong Ha, Turki Abdullah, ChongGun Kim
      Pages 107-116
    5. Nguyen Hong Quy, Nguyen Hoang Quoc, Nguyen Tran Lan Anh, Hyung-Jeong Yang, Pham The Bao
      Pages 117-126
  4. Computer Vision Techniques

    1. Front Matter
      Pages 137-137
    2. Seung-Bo Park, Jason J. Jung, EunSoon You
      Pages 139-147
    3. Hea-Jeong Jeon, Seung-Bo Park
      Pages 149-154
    4. Laksono Kurnianggoro, Van-Dung Hoang, Kang-Hyun Jo
      Pages 155-163
    5. Pongpuk Theppawong, Metawat Kavilkrue
      Pages 165-172
    6. Samruan Wiangsamut, Chatklaw Jareanpon, Sasitorn Kaewman
      Pages 173-181
  5. Intelligent Computational Methods

    1. Front Matter
      Pages 183-183
    2. Fernando Palero, Antonio Gonzalez-Pardo, David Camacho
      Pages 185-194
    3. Junho Choi, Chang Choi, Eunji Lee, Pankoo Kim
      Pages 195-202
    4. Li-Fu Hsu, Chuin-Chieh Hsu, Tsai-Duan Lin
      Pages 203-212
  6. Back Matter
    Pages 213-213

About this book


This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.


Collective Computational Intelligence Computational Intelligence Data Mining Methods ICCCI 2014 Language and Knowledge Processing Multi-Agent Systems Social Networks Web-based Systems

Editors and affiliations

  • David Camacho
    • 1
  • Sang-Wook Kim
    • 2
  • Bogdan Trawiński
    • 3
  1. 1.Autonomous University of MadridMadridSpain
  2. 2.Hanyang UniversitySeoulKorea, Republic of (South Korea)
  3. 3.Wrocław University of TechnologyWroclawPoland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-10773-8
  • Online ISBN 978-3-319-10774-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site