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.

A Data Mining Application for Monitoring Environmental Risks / Scaringella, Angela. - 1715(1999), pp. 209-215. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/3-540-48097-8_17].

A Data Mining Application for Monitoring Environmental Risks.

SCARINGELLA, Angela
1999

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 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.
1999
Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
9783540665991
data mining; pattern recognition
02 Pubblicazione su volume::02a Capitolo o Articolo
A Data Mining Application for Monitoring Environmental Risks / Scaringella, Angela. - 1715(1999), pp. 209-215. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/3-540-48097-8_17].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/138020
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