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Stochastic Foundations for the Case-Driven Acquisition of Classification Rules

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Managing Knowledge in a World of Networks (EKAW 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4248))

Abstract

A predictive mathematical model is presented for the expected case-driven transfer of classification rules. Key insights are offered for Knowledge Acquisition in expert systems, machine learning, artificial intelligence, ontology, and folksomonies.

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References

  1. Compton, P., Preston, P., Kang, B.: The Use of Simulated Experts in Evaluating Knowledge Acquisition. In: Gaines, B., Musen, M. (eds.) Proceedings of the 9th AAAI-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, University of Calgary, pp. 12.1–12.18 (1995)

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  2. Kang, B.H., Lee, K., Kim, W., Preston, P., Compton, P.: Evaluation of Multiple Classification Ripple Down Rules. In: Eleventh Workshop on Knowledge Acquisition, Modeling and Management (KAW), Banff, Alberta, Canada, April 18-23 (1998)

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  3. Golder, S.A., Huberman, B.A.: The Structure of Collaborative Tagging Systems. HP Labs (2003)

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  4. Compton, P.: Simulating Expertise. In: Compton, P., Hoffman, A., Motoda, H., Yamaguchi, T. (eds.) Proceedings of the 6th Pacific Knowledge Acquisition Workshop, Sydney, pp. 51–70 (2000)

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  5. Kang, B., Compton, P., Preston, P.: Multiple Classification Ripple Down Rules: Evaluation and Possibilities. In: Proceedings of the 9th AAAI-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, University of Calgary (1995)

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Author information

Authors and Affiliations

  1. Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney, NSW 2109, Australia

    Megan Vazey

Authors
  1. Megan Vazey
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Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Universität Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany

    Steffen Staab

  2. Dept. Information and Knowledge Engineering,, University of Economics, Prague, Winston Churchill Sq. 4, 130 67 Praha 3, Prague, Czech Republic

    Vojtěch Svátek

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© 2006 Springer-Verlag Berlin Heidelberg

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Vazey, M. (2006). Stochastic Foundations for the Case-Driven Acquisition of Classification Rules. In: Staab, S., Svátek, V. (eds) Managing Knowledge in a World of Networks. EKAW 2006. Lecture Notes in Computer Science(), vol 4248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11891451_7

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  • DOI: https://doi.org/10.1007/11891451_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46363-4

  • Online ISBN: 978-3-540-46365-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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