Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
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Section: Partnerships and Cooperations

Regional Initiatives


Participant : Jean-François Mari.

Hydreos is a state organization -a so-called “Pôle de compétitivité”– aimed at evaluating the delivering and the quality of water ( Actually, data about water resources rely on many agronomic variables, including land use successions. The data to be analyzed are obtained by surveys or by satellite images and describe the land use at the level of the agricultural parcel. Then there is a search for detecting changes in land use and for correlating these changes to groundwater quality. Accordingly, one main challenge in our participation in Hydreos is to process and analyze space-time data for reaching a better understanding of the changes in the organization of a territory. The systems ARPEnTAge and CarottAge are used in this context, especially by agronomists of INRA (ASTER Mirecourt

The Smart Knowledge Discovery Project

Participants : Jérémie Nevin, Amedeo Napoli, Chedy Raïssi.

The SKD project for “Smart Knowledge Discovery” aims at analyzing complex industrial data for troubleshooting and decision making, and is funded by “Grand Est Region”. We are working with the Vize company –which is based in Nancy and specialized in visualization-based data mining– on exploratory knowledge discovery. The data which are under study are provided by the Arcelor-Mittal Steel Company and are related to the monitoring of rolling mills. Data are complex time series and the problem can be set as follows: problem statement, data access and preparation, design of adapted knowledge discovery methods based on symbolic and numerical methods, interaction with analysts, tests and validation. For the Orpailleur team, one main objective of SKD is to combine sequence mining and visualization tools for recognizing and then preventing the occurrences of defects in the outputs of the rolling mills.