Editors:
- Recent advances in algorithmic techniques in data mining
Part of the book series: Studies in Computational Intelligence (SCI, volume 30)
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Table of contents (23 chapters)
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Front Matter
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Computational
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Front Matter
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Design and Marketing
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Front Matter
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About this book
For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc.
The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.
Editors and Affiliations
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Graduate School of Engineering, The University of Tokyo, Tokyo, Japan
Yukio Ohsawa
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Department of Medical Informatics: School of Medicine, Shimane University, Izumo-city, Shimane, Japan
Shusaku Tsumoto
Bibliographic Information
Book Title: Chance Discoveries in Real World Decision Making
Book Subtitle: Data-based Interaction of Human intelligence and Artificial Intelligence
Editors: Yukio Ohsawa, Shusaku Tsumoto
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-34353-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-34352-3Published: 06 September 2006
Softcover ISBN: 978-3-642-07070-9Published: 23 November 2010
eBook ISBN: 978-3-540-34353-0Published: 13 December 2006
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 404
Number of Illustrations: 144 b/w illustrations, 17 illustrations in colour
Topics: Mathematical and Computational Engineering, Artificial Intelligence
Industry Sectors: Aerospace, Automotive, Biotechnology, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Oil, Gas & Geosciences, Telecommunications