A Data Mining Application for Monitoring Environmental Risks

  • Authors:
  • Angela Scaringella

  • Affiliations:
  • -

  • Venue:
  • MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
  • Year:
  • 1999

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Abstract

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 Hydro-geological 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.