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Knowledge discovery from epidemiological databases

  • Data Mining and Warehousing
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Advances in Database Technology — EDBT '96 (EDBT 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1057))

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Abstract

ARC II is a learning system that allows to discover relationships from symbolic data. The learning strategy is based on probabilistic induction and produces dependence relationships between a fact and a set of facts. The system also takes into account dated facts or events in order to produce causal relationships between an event (effect), and a set of facts (cause) including at least one event. Relationships are represented under the form of uncertain production rules. The algorithm ensures that (1) the rules are complete, i.e. that the premises include all known relevant facts and (2) the rules are elementary, i.e. no irrelevant fact belongs to the premises. ARC II has been applied to the analysis of medical data.

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Authors and Affiliations

  1. Laboratoire PRISM, INSERM and Université Versailles-St Quentin, 44, chemin de ronde, 78110, Le Vésinet, France

    Gérard Pavillon

Authors
  1. Gérard Pavillon
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Peter Apers Mokrane Bouzeghoub Georges Gardarin

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© 1996 Springer-Verlag Berlin Heidelberg

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Pavillon, G. (1996). Knowledge discovery from epidemiological databases. In: Apers, P., Bouzeghoub, M., Gardarin, G. (eds) Advances in Database Technology — EDBT '96. EDBT 1996. Lecture Notes in Computer Science, vol 1057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014153

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  • DOI: https://doi.org/10.1007/BFb0014153

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61057-1

  • Online ISBN: 978-3-540-49943-5

  • eBook Packages: Springer Book Archive

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