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Enhancing Chance Discovery: Dimensions, Strategies and Tools

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

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Abstract

The dimensions of Chance Discovery are outlined followed by recommended strategies to enhance Chance Discovery. The paper aims to clarify concepts, and to explore promising strategies.

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Author information

Authors and Affiliations

  1. Biocomputing and Developmental Systems Group, Computer Science and Information Systems, University of Limerick, Ireland

    Daniel Howard

  2. Wychavon District Council, Worcestershire, UK

    Mark A. Edwards

Authors
  1. Daniel Howard
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  2. Mark A. Edwards
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Howard, D., Edwards, M.A. (2004). Enhancing Chance Discovery: Dimensions, Strategies and Tools. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_104

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_104

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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