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Data Mining Coupled Conceptual Spaces for Intelligent Agents in Data-Rich Environments

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

Conceptual spaces provide a robust conceptualized framework for many cognitive tasks within intelligent agents. As agents are asked to accomplish more complex tasks, an efficient and effective management of conceptual spaces has become an important issue. This paper proposes a data mining coupled conceptual spaces framework for the efficient management of concepts and properties in data-rich environments. This paper illustrates the working principle of data mining coupled conceptual spaces and demonstrates the efficacy and effectiveness of this framework.

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Author information

Authors and Affiliations

  1. School of Information Technology, James Cook University, Townsville, QLD4811, Australia

    Ickjai Lee

Authors
  1. Ickjai Lee
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

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

    Robert J. Howlett

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

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, I. (2005). Data Mining Coupled Conceptual Spaces for Intelligent Agents in Data-Rich Environments. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_7

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  • DOI: https://doi.org/10.1007/11554028_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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