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Multiple databases, partial reasoning, and knowledge discovery

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Research and Development in Knowledge Discovery and Data Mining (PAKDD 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1394))

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Abstract

We consider multiple sources of information, sets of sentences they provide, and the resulting multiple partial theories. The set of all theories is equipped with an information ordering and forms a lattice. We relate the framework to knowledge discovery.

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References

  1. Chris Nowak. Towards partial reasoning. In The 11th International FLAIRS Conference. Florida AI Research Society, AAAI Press, May 1998. To appear.

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Author information

Authors and Affiliations

  1. Macquarie University, 2109, Sydney, NSW, Australia

    Chris Nowak

Authors
  1. Chris Nowak
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, Monash university, 900 Dandenong Road, Caulfield East, Victoria, 3145, Australia

    Xindong Wu

  2. Department of Computer Science, The University of Melbourne, Parkville, Victoria, 3052, Australia

    Ramamohanarao Kotagiri

  3. School of Computer Science and Engineering, Monash university, Clayton, Victoria, 3168, Australia

    Kevin B. Korb

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© 1998 Springer-Verlag Berlin Heidelberg

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Nowak, C. (1998). Multiple databases, partial reasoning, and knowledge discovery. In: Wu, X., Kotagiri, R., Korb, K.B. (eds) Research and Development in Knowledge Discovery and Data Mining. PAKDD 1998. Lecture Notes in Computer Science, vol 1394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64383-4_44

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  • DOI: https://doi.org/10.1007/3-540-64383-4_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64383-8

  • Online ISBN: 978-3-540-69768-8

  • eBook Packages: Springer Book Archive

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