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Chance Discovery

  • Yukio Ohsawa
  • Peter McBurney

Part of the Advanced Information Processing book series (AIP)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Chance Discovery in the Complex Real World

    1. Front Matter
      Pages 1-1
    2. Henrik Jeldtoft Jensen
      Pages 44-61
    3. Paul Jefferies, David Lamper, Neil F. Johnson
      Pages 62-70
  3. Key 1 — Communications for Chance Discovery

    1. Front Matter
      Pages 71-71
    2. Naohiro Matsumura
      Pages 84-97
    3. Robert McArthur, Peter Bruza
      Pages 98-114
    4. Peter McBurney, Simon Parsons
      Pages 133-149
    5. Simon Parsons, Peter McBurney
      Pages 150-167
  4. Key 2 — Perceptions for Context Shifting

    1. Front Matter
      Pages 169-169
    2. Yasufumi Takama, Yukio Ohsawa
      Pages 184-188
    3. Helmut Prendinger, Mitsuru Ishizuka
      Pages 189-207
    4. Eric Dietrich, Arthur B. Markman, C. Hunt Stilwell, Michael Winkley
      Pages 208-230
    5. Akinori Abe
      Pages 231-248
  5. Key 3 — Computer-aided Chance Discoveries

    1. Front Matter
      Pages 249-249
    2. Wataru Sunayama
      Pages 250-261
  6. Keys Combined to Applications

    1. Front Matter
      Pages 303-303
    2. Yasuyuki Sumi, Kenji Mase
      Pages 304-324
    3. Naohiro Matsumura, Yukio Ohsawa
      Pages 325-338
    4. Yukio Ohsawa
      Pages 339-350
    5. Yumiko Nara, Yukio Ohsawa
      Pages 351-366
    6. Makoto Mizuno
      Pages 367-382
  7. Back Matter
    Pages 397-401

About this book

Introduction

 

Chance discovery means discovering chances -- the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data mining methods for finding rare but important events with knowledge management, groupware, and social psychology. The reader will find many applications, such as finding information on the Internet, recognizing changes in customer behavior, detecting the first signs of an imminent earthquake, etc.

This first book dedicated to chance discovery covers the state of the art in the theory and methods and examines typical scenarios, and it thus appeals to researchers working on new techniques and algorithms and also to professionals dealing with real-world applications.

Keywords

Computer Forecast Prediction Rare Events Tacit Knowledge algorithms calculus communication complex system data mining genetic algorithms knowledge management modeling

Editors and affiliations

  • Yukio Ohsawa
    • 1
  • Peter McBurney
    • 2
  1. 1.Graduate School of Business Sciences, University of Tsukuba, GSSMUniversity of TsukubaBunkyo-ku, TokyoJapan
  2. 2.Agent Applications, Research and Technology (Agent ART) Group, Department of Computer ScienceUniversity of LiverpoolLiverpoolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-06230-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05609-3
  • Online ISBN 978-3-662-06230-2
  • Buy this book on publisher's site
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