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New Trends in Computational Collective Intelligence

  • Book
  • © 2015

Overview

Editors:
  1. David Camacho

    1. Autonomous University of Madrid, Madrid, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Sang-Wook Kim

    1. Hanyang University, Seoul, Korea, Republic of (South Korea)

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    You can also search for this editor in PubMed   Google Scholar

  3. Bogdan Trawiński

    1. Wrocław University of Technology, Wroclaw, Poland

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  • Recent research in Collective Computational Intelligence
  • Consists of 20 extended and revised chapters based on original works presented within the 6th International Conference on Computational Collective Intelligence (ICCCI 2014) held September 23-26, 2014 in Seoul, Korea
  • Presents 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

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages 1-9
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  2. Language and Knowledge Processing

    1. Front Matter

      Pages 1-1
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    2. An Analysis of Influence of Consistency Degree on Quality of Collective Knowledge Using Binary Vector Structure

      • Marcin Gębala, Van Du Nguyen, Ngoc Thanh Nguyen
      Pages 3-13

    3. Evaluation of Domain Adaptation Approaches to Improve the Translation Quality

      • Ezgi Yıldırım, Ahmet Cüneyd Tantuğ
      Pages 15-26

    4. Intelligent Problem Solving about Functional Component of COKB Model and Application

      • Van Nhon Do, Diem Nguyen
      Pages 27-37

    5. Reducing Model of COKB about Operators Knowledge and Solving Problems about Operators

      • Van Nhon Do, Hien D. Nguyen
      Pages 39-49

    6. Context Identification of Scientific Papers via Agent-Based Model for Text Mining (ABM-TM)

      • Moamin A. Mahmoud, Mohd Sharifuddin Ahmad, Mohd Zaliman M. Yusoff, Aida Mustapha
      Pages 51-61

    7. A Method for Response Integration in Federated Data Warehouses

      • Rafał Kern, Grzegorz Dobrowolski, Ngoc Thanh Nguyen
      Pages 63-73

  3. Data Mining Methods and Applications

    1. Front Matter

      Pages 75-75
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    2. An Asymmetric Weighting Schema for Collaborative Filtering

      • Parivash Pirasteh, Jason J. Jung, Dosam Hwang
      Pages 77-82

    3. Churn Prediction in Telecommunication Industry Using Rough Set Approach

      • Adnan Amin, Saeed Shehzad, Changez Khan, Imtiaz Ali, Sajid Anwar
      Pages 83-95

    4. Analysis of Weather Information System in Statistical and Rough Set Point of View

      • Khu Phi Nguyen, Viet Long Huu Nguyen
      Pages 97-106

    5. Exclusive Channel Allocation Methods Based on Four-Color Theorem in Clustering Sensor Networks

      • Mary Wu, SungYong Ha, Turki Abdullah, ChongGun Kim
      Pages 107-116

    6. 3D Human Face Recognition Using Sift Descriptors of Face’s Feature Regions

      • Nguyen Hong Quy, Nguyen Hoang Quoc, Nguyen Tran Lan Anh, Hyung-Jeong Yang, Pham The Bao
      Pages 117-126

    7. The Bootstrap Approach to the Comparison of Two Methods Applied to the Evaluation of the Growth Index in the Analysis of the Digital X-ray Image of a Bone Regenerate

      • Aneta Gądek-Moszczak, Jacek Pietraszek, Barbara Jasiewicz, Sylwia Sikorska, Leszek Wojnar
      Pages 127-136

  4. Computer Vision Techniques

    1. Front Matter

      Pages 137-137
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    2. Storytelling of Collaborative Learning System on Augmented Reality

      • Seung-Bo Park, Jason J. Jung, EunSoon You
      Pages 139-147

    3. Contemporary Architecture Theory and Game Storytelling

      • Hea-Jeong Jeon, Seung-Bo Park
      Pages 149-154

    4. Calibration of Rotating 2D Laser Range Finder Using Circular Path on Plane Constraints

      • Laksono Kurnianggoro, Van-Dung Hoang, Kang-Hyun Jo
      Pages 155-163

    5. A Case Study of Database and Information System on Mobile Application for Tourism

      • Pongpuk Theppawong, Metawat Kavilkrue
      Pages 165-172
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Keywords

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.

Editors and Affiliations

  • Autonomous University of Madrid, Madrid, Spain

    David Camacho

  • Hanyang University, Seoul, Korea, Republic of (South Korea)

    Sang-Wook Kim

  • Wrocław University of Technology, Wroclaw, Poland

    Bogdan Trawiński

Bibliographic Information

  • Book Title: New Trends in Computational Collective Intelligence

  • Editors: David Camacho, Sang-Wook Kim, Bogdan Trawiński

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-10774-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-10773-8Published: 22 September 2014

  • Softcover ISBN: 978-3-319-36489-6Published: 10 September 2016

  • eBook ISBN: 978-3-319-10774-5Published: 10 September 2014

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 213

  • Number of Illustrations: 70 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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