CBGP: Classification Based on Gradual Patterns - ETIS, équipe MIDI Accéder directement au contenu
Communication Dans Un Congrès Année : 2009

CBGP: Classification Based on Gradual Patterns

CBGP : Classification à l'aide de motifs graduels

Résumé

In this paper, we address the issue of mining gradual classification rules. In general, gradual patterns refer to regularities such as the older a person, the higher his salary. Such patterns are extensively and successfully used in command-based systems, especially in fuzzy command applications. However, in such applications, gradual patterns are supposed to be known and/or provided by an expert, which is not always realistic in practice. In this work, we aim at mining from a given training dataset such gradual patterns for the generation of gradual classification rules. Gradual classification rules thus refer to rules where the antecedent is a gradual pattern and the conclusion is a class value.
Fichier principal
Vignette du fichier
cbgr_final_version.pdf (372.17 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02593068 , version 1 (12-10-2020)

Identifiants

Citer

Yeow Wei Choong, Lisa Di Jorio, Anne Laurent, Dominique Laurent, Maguelonne Teisseire. CBGP: Classification Based on Gradual Patterns. International Conference of Soft Computing and Pattern Recognition (SoCPaR), Dec 2009, Malacca, Malaysia. pp.7-12, ⟨10.1109/SoCPaR.2009.15⟩. ⟨hal-02593068⟩
46 Consultations
25 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More