Knowledge discovery from epidemiological databases

  • Gérard Pavillon
Data Mining and Warehousing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1057)

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.

Keywords

Knowledge Discovery Induction Dependence and Causal Relationships 

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Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Gérard Pavillon
    • 1
  1. 1.Laboratoire PRISMINSERM and Université Versailles-St QuentinLe VésinetFrance

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