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  • Book
  • © 2008

Communications and Discoveries from Multidisciplinary Data

  • Selected Papers on Data based Discovery and Communication, from CODATA06
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (20 chapters)

  1. Front Matter

    Pages I-XIII
  2. Creative Community Working on Multidisciplinary Data

    1. Augmented Analytical Exploitation of a Scientific Forum

      • Xijin Tang, Yijun Liu, Wen Zhang
      Pages 65-79
    2. Multi-Data Mining for Understanding Leadership Behavior

      • Naohiro Matsumura, Yoshihiro Sasaki
      Pages 81-94
  3. Discoveries from Data and Application to Business

    1. Integrated Design Framework for Embedded GUI System

      • Noriyuki Kushiro, Yukio Ohsawa
      Pages 157-170
    2. Pharmaceutical Drug Design Using Dynamic Connectionist Ensemble Networks

      • Ajith Abraham, Crina Grosan, Stefan Tigan
      Pages 221-231
    3. A Framework of Knowledge Management Platform for Middle and Small Business

      • Xingsen Li, Jun Li, Yuejin Zhang, Yong Shi
      Pages 233-248
  4. Mining Risks from Multidisciplinary Data

    1. Risk Mining for Infection Control

      • Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
      Pages 283-297
    2. Evaluating the Error Risk of Email Filters Based on ROC Curve Analysis

      • Wenbin Li, Ning Zhong, Chunnian Liu
      Pages 299-314
    3. Categorized and Integrated Data Mining of Medical Data

      • Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani, Rumiko Matsuoka
      Pages 315-330

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.

Editors and Affiliations

  • Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

    Shuichi Iwata

  • Department of Systems Innovation School of Engineering, The University of Tokyo, Tokyo, Japan

    Yukio Ohsawa

  • Department of Medical Informatics School of Medicine, Shimane University, Enya-cho Izumo City Shimane, Japan

    Shusaku Tsumoto

  • Department of Information Engineering, Maebashi Institute of Technology, Maebashi-City, Japan

    Ning Zhong

  • WICI/BJUT, China

    Ning Zhong

  • Research Center on Data Technology and Knowledge Economy, Chinese Academy of Sciences, Beijing, PR China

    Yong Shi

  • College of Information Science and Technology, University of Nebraska, Omaha, USA

    Yong Shi

  • Department of Philosophy, University of Pavia, Pavia, Italy

    Lorenzo Magnani

Bibliographic Information

  • Book Title: Communications and Discoveries from Multidisciplinary Data

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

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-78733-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-78732-7Published: 25 August 2008

  • Softcover ISBN: 978-3-642-09751-5Published: 18 November 2010

  • eBook ISBN: 978-3-540-78733-4Published: 17 August 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 340

  • Number of Illustrations: 121 b/w illustrations

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access