Communications and Discoveries from Multidisciplinary Data

  • Shuichi Iwata
  • Yukio Ohsawa
  • Shusaku Tsumoto
  • Ning Zhong
  • Yong Shi
  • Lorenzo Magnani

Part of the Studies in Computational Intelligence book series (SCI, volume 123)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Thought, Communication, and Actions

  3. Creative Community Working on Multidisciplinary Data

    1. Xijin Tang, Yijun Liu, Wen Zhang
      Pages 65-79
    2. Naohiro Matsumura, Yoshihiro Sasaki
      Pages 81-94
  4. Discoveries from Data and Application to Business

  5. Mining Risks from Multidisciplinary Data

    1. Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
      Pages 283-297
    2. Wenbin Li, Ning Zhong, Chunnian Liu
      Pages 299-314
    3. Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani, Rumiko Matsuoka
      Pages 315-330
    4. Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen
      Pages 331-340

About this book


A number of urgent problems are rising to human life: The attack of terrorists is hard to predict, due to the hidden leaderships. New diseases are hard to extinguish, due to their new causes. Products may be shortly abandoned, due to the appearance of new desires.
A common feature of recent socially high-impact problems, such as detecting the causal virus of SARS, is that they are open to multiple scientific domains. In order to respond to this social requirement, this book collects selected papers by authors for CODATA 2006, which are relevant to the discoveries of knowledge, risk, and opportunities by combining data from multiple disciplines.
By presenting papers in this book, we aim at urging the development of data-based methods and methodologies for interdisciplinary and creative communications for solving emerging social problems. The reader shall view the direction to combine three methodological frameworks: data mining, data sharing, and communication in the contexts of sciences and businesses.


algorithm algorithms calculus classification communication control data analysis data mining fuzzy fuzzy system knowledge discovery knowledge management learning model visualization

Editors and affiliations

  • Shuichi Iwata
    • 1
  • Yukio Ohsawa
    • 2
  • Shusaku Tsumoto
    • 3
  • Ning Zhong
    • 4
    • 5
  • Yong Shi
    • 6
    • 7
  • Lorenzo Magnani
    • 8
  1. 1.Graduate School of EngineeringThe University of TokyoTokyoJapan
  2. 2.Department of Systems Innovation School of EngineeringThe University of TokyoTokyoJapan
  3. 3.Department of Medical Informatics School of MedicineShimane UniversityEnya-cho Izumo City ShimaneJapan
  4. 4.Department of Information EngineeringMaebashi Institute of TechnologyMaebashi-CityJapan
  5. 5.WICI/BJUTChina
  6. 6.Research Center on Data Technology and Knowledge EconomyChinese Academy of SciencesBeijingPR China
  7. 7.College of Information Science and TechnologyUniversity of NebraskaOmahaUSA
  8. 8.Department of PhilosophyUniversity of PaviaPaviaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-78732-7
  • Online ISBN 978-3-540-78733-4
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site