Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach

Sébastien Ferré

Résumé

Data exploration and transformation remain a challenging prerequisite to the application of data analysis methods. The desired transformations are often ad-hoc so that existing end-user tools may not suffice, and plain programming may be necessary. We propose a guided query builder approach to reconcile expressivity and usability, i.e. to support the exploration of data, and the design of ad-hoc transformations, through data-user interaction only. This approach is available online as a client-side web application, named Dexteris. Its strengths and weaknesses are evaluated on a representative use case, and compared to plain programming and ChatGPT-assisted programming.
Fichier principal
Vignette du fichier
paper.pdf (549.88 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Licence : CC BY NC - Paternité - Pas d'utilisation commerciale

Dates et versions

hal-04186117 , version 1 (23-08-2023)

Licence

Paternité

Identifiants

Citer

Sébastien Ferré. Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach. DEXA 2023 - 34th International Conference on Database and Expert Systems Applications, Aug 2023, Penang, Malaysia, Malaysia. pp.361-376, ⟨10.1007/978-3-031-39847-6_29⟩. ⟨hal-04186117⟩
18 Consultations
24 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More