Fuzzy data mining and management of interpretable and subjective information - Sorbonne Université Access content directly
Journal Articles Fuzzy Sets and Systems Year : 2015

Fuzzy data mining and management of interpretable and subjective information

Abstract

Fuzzy set theory offers an important contribution to data mining leading to fuzzy data mining. It enables the management of interpretable and subjective information in both input and output of the data mining process. In this paper, we discuss the notion of interpretability in fuzzy data mining and we present some references on the management of emotions as a particular kind of subjective information.
Fichier principal
Vignette du fichier
Marsala_Fuzzy_data_mining.pdf (189.51 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01198847 , version 1 (14-09-2015)

Identifiers

Cite

Christophe Marsala, Bernadette Bouchon-Meunier. Fuzzy data mining and management of interpretable and subjective information. Fuzzy Sets and Systems, 2015, 281, pp.252-259. ⟨10.1016/j.fss.2015.08.021⟩. ⟨hal-01198847⟩
203 View
242 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More