Hierarchical Model for Rank Discrimination Measures - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Hierarchical Model for Rank Discrimination Measures

Davide Petturiti
  • Fonction : Auteur

Résumé

In this paper we focus on rank discrimination measures, i.e., functions able to quantify the discrimination power of an attribute w.r.t. the class, taking into account the monotonicity of the class w.r.t. the attribute. These measures are used in decision tree induction in order to enforce a local form of monotonicity of the class w.r.t. the splitting attribute and are characterized by a noticeable robustness to non-monotone noise present in the data. More precisely, here we present a hierarchical model in order to single out which properties a function must satisfy to be a rank discrimination measure, providing in this way a framework for the construction of new measures.

Dates et versions

hal-01219707 , version 1 (23-10-2015)

Identifiants

Citer

Christophe Marsala, Davide Petturiti. Hierarchical Model for Rank Discrimination Measures. 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, Jul 2013, Utrecht, Netherlands. pp.412-423, ⟨10.1007/978-3-642-39091-3_35⟩. ⟨hal-01219707⟩
69 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More