Theme Data, Services, Intelligence
The works of the team 'Data, Services, Intelligence' of the laboratory LIMOS, aim at solving a problem given thanks to the searches in the stream of data and in the already made studies.
His purpose is to set up tools algorithmics to characterize groups and help companies clarify their data to solve a problem.
The developed tools also allow for example to manage the immense stream that is the sequencing DNA through the elaboration of systems managing and sorting out this stream
Analysis, Verification, Testing of applications, web services and business processes.
Our reserach work deals with the analysis of services, applications or business processes for optimising them, make them reliable or secure. The applications are described by means of onthologies or with models (formals or UML). Generally speaking, these models are used for optimising a given property, for checking whether a property holds or for generating test suites.
GOOSE: A Secure Framework for Graph Outsourcing and SPARQL Evaluation
34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec'20)
Wissm Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo - June 10, 2020
A Novel Scalable Clustering Method for Distributed Networks
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo - June 10, 2020
A Distributed and Incremental Algorithm for Large-Scale Graph Clustering
Sébastien Salva, Elliott Blot - May 5, 2020
CkTail: Model Learning of Communicating Systems
15th International Conference on Evaluation of Novel Approaches to Software Engineering
Abdoul Jalil Djiberou Mahamadou, Violaine Antoine, Gregory Christie, Sylvain Moreno - March 12, 2020
Evidential clustering for categorical data
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Nguifo - Jan. 27, 2020
Un algorithme distribué pour le clustering de grands graphes
20ème édition de la conférence francophone Extraction et gestion des connaissances
Sébastien Salva, Elliott Blot - Jan. 2, 2020
Model generation of component-based systems
Software Quality Journal
Titouan Bonnot, Pierre Martre, Victor Hatte, Mireille Dardevet, Philippe Leroy, Camille Benard, Natalia Falagan, Marie-Laure Martin-Magniette, Catherine Deborde, Annick Moing, Yves Gibon, Marie Pailloux, Emmanuelle Bancel, Catherine Ravel - Jan. 1, 2020
Omics Data Reveal Putative Regulators of Einkorn Grain Protein Composition under Sulphur deficiency
Nicolas Wagner, Violaine Antoine, Marie Madeleine Richard, Romain Lardy, Mathieu Silberberg, Jonas Koho, Isabelle Veissier - Jan. 1, 2020
Machine learning to detect behavioural anomalies in dairy cows under subacute ruminal acidosis
Computers and Electronics in Agriculture
Manel Zoghlami - Dec. 20, 2019
Multiple instance learning for sequence data : Application on bacterial ionizing radiation resistance prediction
All publications are here