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Exposé de Mathieu Roche, Cirad, TETIS

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Exposé de Mathieu Roche, Cirad, TETIS

Science des Données Textuelles

L'analyse des masses de données, en particulier textuelles, nécessite l'utilisation de méthodes mêlant harmonieusement différentes disciplines comme l'informatique, les mathématiques ou les statistiques. L'ensemble de ces méthodes utiles pour traiter de telles données forme le socle de la "Science des Données Textuelles". Dans ce cadre, les approches de fouille de textes permettent de découvrir des connaissances utiles pour des experts issus généralement de différents domaines d'application (par exemple, veille épidémiologique, analyse de données de SHS, etc.). L'exposé présentera les fondements des approches et leur mise en oeuvre pour traiter les données textuelles hétérogènes à travers différents projets pluridisciplinaires.

Textual Data Science

The analysis of large volumes of data, in particular textual data, requires the use of methods that combine different disciplines such as computer science, mathematics, or statistics. All these methods represent the basis of "Textual Data Science". In this context, text-mining approaches enable to discover knowledge useful for experts of different domains (e.g. Epidemiology, Humanities, etc.). The talk will present some approaches and their implementation in order to deal with heterogenous textual data in the context of multidisciplinary projects.

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1 LIRIMA Scientific Days 2017

September 12th – 14th 2017 ENIT – Tunis

http://lirima.inria.fr/events/2017-scientific-days/

The Scientific Days will be held from September 12 to September 14, 2017 at ENIT (École Nationale d’Ingénieurs de Tunis), located on the campus of El Manar Tunis University in Tunis. See the program below. Practical information: • Location: salle Chaire UNESCO Campus of Farhat HACHED EL MANAR University in Tunis BP 37, LE BELVEDERE 1002 TUNIS • Accomodation: rooms are booked at Hotel Ariha for the participants who asked for accommodation in their registration form. http://www.hotel-ariha.com/index.php • Access: the participants will be welcomed at the airport by our colleagues from ENIT. A free shuttle will pick up the participants from the hotel to the Campus every day. • Contacts: Amel Ben Abda – ENIT : mobile : 00 216 24 383 661 Nabil Gmati – ENIT : fixe : 00 216 71 871 022 – mobile : 00 216 20 233 861 Laura Norcy – Inria : mobile : + 33 (0)6 86 38 93 62 Tuesday September 12th - salle Chaire UNESCO 9:00-9:30 Welcome and introduction 9:30-12:30 Presentation of the Associate Teams 9:30-10:15 SIMERGE 10:15-10:45 EPITAG 10:45-11:15 Coffee break 11:15-12:00 IoT4D 12:00-12:30 AGRINET 12:30-13:30 Lunch 13:30-16:30 Presentation of the Associate Teams 13:30-14:15 MOHA 14:15-15:00 EPICARD

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2 15:00-15:15 Short break 15:15-16:00 MOREWAIS 16:00-16:30 FAST 16:30-17:00 Coffee break 17:00-18:30 Meeting with the Scientific Council and Associate Teams members 20:00 Joint Dinner Wednesday September 13th - salle de conférence Mokhtar Laatiri 9:00-17:00 Workshop “Data Sciences”

9:00-10:00 Mohamed Masmoudi, Univ. Paul Sabatier, Toulouse - " Deep learning: Nothing is left to chance " 10:00-10:15 Coffee break

10:15-11:15 Mathieu Roche, Cirad – ” Textual Data Science “ 11:15-11:30 Coffee break

11:30-12:30 Jean-Daniel Zücker, IRD – ” Data Analysis “ Machine Learning Challenges in Metagenomics 12:30-13:30 Lunch

13:30-14:00 Riaan Wolhuter, Stellenbosch University & Nathalie Mitton, Inria – ” digital VHF radio communications system for Zinave National Park, A Mozambique: a case study “

14:00-14:30 Olivier Corby, Inria – ” RDF du Web de données liéesSTTL, un langage de transformation pour les graphes “ 14:30-15:00 Nejib Zemzemi, Inria – ” Examples of challaging questions in computational cardiology: High dimension, multiphysics and heterogeneous data “ 15:00-15:15 Coffee break

15:15-16:15 Lilia Sfaxi, INSAT – ” Thinking Big “ 16:15-16:30 Coffee break

16:30-17:30 Claude Kirchner, Inria – ” OpenData and openSciences: Opportunities and Responsible Research and Innovation “ 17:30-17:45 Coffee break 17:45-18:45 Panel with managers of Tunisian companies: • Karim Beguir, Instadeep – Using supercomputers in AI • Samy Achour, Integration Objects – Data Sciences dans l’industrie 4.0 • Hédi Zaher & Houda Bakir, Datavora – Big Data et Data Science: game changers du E-Commerce 18:45-19:30 Cocktail 20:30 Dinner Thursday September 14th - salle Chaire UNESCO 9:30-12:00 Meeting between the Steering Committee and the Scientific Council 12:00-13:30 Lunch 13:30 Departure

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