CE23 - Intelligence artificielle et science des données

Explainable and parsimonious Preference models to get the most out of Inconsistent Databases – EXPIDA

Submission summary

The EXPIDA project aims to provide database consumers with a rich family of explainable methods to handle imperfect (i.e., inconsistent and/or uncertain) data with the aim to assist the analysis of aviation incidents data, and therefore to improve the civil air flights safety. More explicitly, our aim is to equip our imperfection-tolerant reasoning system in databases with interactive explanations techniques in order to improve query answering and to help end-users realize query outputs.

Project coordination

Said Jabbour (Centre de Recherche en Informatique de Lens)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

ETIS CY Cergy Paris Université
CRIL Centre de Recherche en Informatique de Lens
LISN UPSaclay- Laboratoire Interdisciplinaire des Sciences du Numérique
TSP Telecom SudParis

Help of the ANR 521,219 euros
Beginning and duration of the scientific project: February 2023 - 48 Months

Useful links

Explorez notre base de projets financés

 

 

ANR makes available its datasets on funded projects, click here to find more.

Sign up for the latest news:
Subscribe to our newsletter