Taillandier P., Drogoul Alexis. (2010). Supervised feature evaluation by consistency analysis : application to measure sets used to characterise geographic objects. In :
Son Bao Pham (ed.), Tuan-Hao Hoang (ed.), McKay B. (ed.), Hirota K. (ed.). Second international conference on knowledge and systems engineering : proceedings. New York : IEEE, 63-68. (IEEE Conference Publications). KSE 2010.International Conference on Knowledge and Systems Engineering, 2., Hanoi (VNM), 2010/10/07-09. ISBN 978-1-4244-8334-1.
Titre du document
Supervised feature evaluation by consistency analysis : application to measure sets used to characterise geographic objects
Année de publication
2010
Type de document
Partie d'ouvrage
Auteurs
Taillandier P., Drogoul Alexis
In
Son Bao Pham (ed.), Tuan-Hao Hoang (ed.), McKay B. (ed.), Hirota K. (ed.) Second international conference on knowledge and systems engineering : proceedings
Source
New York : IEEE, 2010,
63-68 (IEEE Conference Publications). ISBN 978-1-4244-8334-1
Colloque
KSE 2010.International Conference on Knowledge and Systems Engineering, 2., Hanoi (VNM), 2010/10/07-09
Nowadays, supervised learning is commonly used in many domains. Indeed, many works propose to learn new knowledge from examples that translate the expected behaviour of the considered system. A key issue of supervised learning concerns the description language used to represent the examples. In this paper, we propose a method to evaluate the feature set used to describe them. Our method is based on the computation of the consistency of the example base. We carried out a case study in the domain of geomatic in order to evaluate the sets of measures used to characterise geographic objects. The case study shows that our method allows to give relevant evaluations of measure sets
