Data Obsolescence Detection Within Connected Environments. - Université de Pau et des Pays de l'Adour Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Data Obsolescence Detection Within Connected Environments.

Résumé

Connected environments collect data from millions of devices every second presenting valuable information to the community. However, data integrity faces critical research gaps especially when it comes to data obsolescence and its detection. Thinking of data obsolescence as an independent terminology, we define it as the state wherein data is no longer significant or effective with respect to the device, parent zone and/or the environment. Accordingly, this paper provides connected environments with a dimensional architecture that : (1) assess predefined quality metrics of each sensed data, (2) discovers interrelation between deployed devices using clustering techniques, and (3) identifies data obsolescence through three main layers; namely, the device, hosting zone, and/or environment level.
Fichier principal
Vignette du fichier
Data_Obsolescence_Detection_Within_Connected_Environments__Vfinal (2).pdf (962.45 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04259811 , version 1 (26-10-2023)

Identifiants

  • HAL Id : hal-04259811 , version 1

Citer

Jean Raphael Richa, Hamza Noueihed, Richard Chbeir. Data Obsolescence Detection Within Connected Environments.. THE 14TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA), Nov 2023, Casablanca, Morocco, Morocco. ⟨hal-04259811⟩

Collections

UNIV-PAU LIUPPA
23 Consultations
14 Téléchargements

Partager

Gmail Facebook X LinkedIn More