Logical characterization of groups of data: a comparative study

TitreLogical characterization of groups of data: a comparative study
Type de publicationArticle de revue
AuteurChambon, Arthur , Boureau, Tristan , Lardeux, Frédéric , Saubion, Frédéric
EditeurSpringer Verlag
TypeArticle scientifique dans une revue à comité de lecture
Année2018
LangueAnglais
Date06 Nov. 2017
Numéro8
Pagination2284-2303
Volume48
Titre de la revueApplied Intelligence
ISSN0924-669X
Mots-clésCharacterization of multiple groups of data, Logical analysis of data
Résumé en anglais

This paper presents an approach for characterizing groups of data represented by Boolean vectors. The purpose is to find minimal set of attributes that allow to distinguish data from different groups. In this work, we precisely defined the multiple characterization problem and the algorithms that can be used to solve its different variants. Our data characterization approach can be related to Logical Analysis of Data and we propose thus a comparison between these two methodologies. The purpose of this paper is also to precisely study the properties of the solutions that are computed with regards to the topological properties of the instances. Experiments are thus conducted on real biological data.

URL de la noticehttp://okina.univ-angers.fr/publications/ua16544
DOI10.1007/s10489-017-1080-3
Lien vers le document

https://link.springer.com/article/10.1007%2Fs10489-017-1080-3

Titre abrégéAppl Intell