A Data Mining Application for Monitoring Environmental Risks

  • Angela Scaringella
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1715)


We describe the guidelines of a system for monitoring environmental risk situations. The system is based on data mining techniques and in particular classification trees working on the data base collected by the Italian National Hydro­geological Net. The goal of our application is to achieve a better discrimination among cases then that obtained by the system which is presently in use. The decision trees are evaluated and selected via a metric that takes a weighted account of the errors of different kinds.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Angela Scaringella
    • 1
    • 2
  1. 1.Presidenza del Consiglio dei MinistriDSTN, Servizio Idrografico e Mareografico NazionaleRomaItaly
  2. 2.CATTIDUniversità di Roma “La Sapienza”Italy

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