Using stabilized classification trees in the field of radioecology
Titre du congrès :IASC 07 - Statistics for Data Mining, Learning and Knowledge Extraction.
Ville du congrès :Aveiro
Date du congrès :30/08/2007
Upon occurrence of a nuclear accident, it is necessary to assess the impact of radioactive deposit
and transfer through the environment, particularly through agricultural productions. The
purpose of this study is to propose a method to identify the various environmental and anthropogenic
characteristics which will mainly influence the radioactive contamination level of plants.
A methodology, transposable to other non-agricultural fields, has been developed based on a
classification-tree method and the use of radioecological transfer models. In particular, to avoid
the problems of instability of decision trees and to preserve their structure, a node-level stabilizing
procedure is used.