New Method for Exemplar Selection and Application to VANET Experimentation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

New Method for Exemplar Selection and Application to VANET Experimentation

Résumé

Nowadays, huge amount of data are generated and collected in many domains and from various sources. Most of the time, the collected data are processed as common data where simple calculations are applied for the analysis, such as measuring the average, the maximum, the deviation, etc. Exemplar selection has a finer meaning since its aim is to study a few exemplars from common data (the most representative ones). The objective of this paper is to propose a methodology able to extract these representative exemplars from a dataset. The proposed method has been tested against well-known simulated as well as real dataset. It is then experimented on dataset extracted from experimentations of connected vehicle traces.
Fichier principal
Vignette du fichier
bourdy2018.pdf (243.27 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02133061 , version 1 (21-10-2019)

Identifiants

Citer

Emilien Bourdy, Kandaraj Piamrat, Michel Herbin, Hacène Fouchal. New Method for Exemplar Selection and Application to VANET Experimentation. IEEE Global Communications Conference (GLOBECOM), 2018, Abu Dhabi, United Arab Emirates. pp.1-6, ⟨10.1109/GLOCOM.2018.8647908⟩. ⟨hal-02133061⟩
100 Consultations
107 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More