Planning

Week Wed. 07 Thu. 08 Fri. 09 List

	Wed. 07	Thu. 08	Fri. 09
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00	Open ceremony 8:30 - 9:00 (30min) Open ceremony Amphi G Key Note: A Conversation about REST, Cloud Computing and Microservices 9:00 - 10:15 (1h15) Key Note: A Conversation about REST, Cloud Computing and Microservices Amphi G Cesare Pautasso Coffee break 10:15 - 10:30 (15min) Coffee break Use Case: Serverless Computing Tutorial: Semantic Composition of RESTful services 10:30 - 12:30 (2h) Use Case: Serverless Computing Amphi G Mouloud Menceur 10:30 - 12:30 (2h) Tutorial: Semantic Composition of RESTful services Salle-Info 210A Michael Mrissa, Université de Pau Lunch 12:30 - 13:45 (1h15) Lunch Tutorial: Introduction to Data Science. Tutorial: Restful Web Services Tutorial: Internet of Things, CISCO 13:45 - 15:45 (2h) Tutorial: Introduction to Data Science. Salle-Info 210B Erwan Le Pennec, Université Paris-Saclay 13:45 - 15:45 (2h) Tutorial: Restful Web Services Salle-Info 210A Reda Bendraou, Université Paris Nanterre 13:45 - 15:45 (2h) Tutorial: Internet of Things, CISCO Salle-Info 203 Philippe Arnould, Université de Pau Coffee break 15:45 - 16:00 (15min) Coffee break Tutorial: Introduction to Data Science Tutorial: Implémentation d’une architecture microservices Cas pratique: Netflix Tutorial: Internet of Things, CISCO 16:00 - 18:00 (2h) Tutorial: Introduction to Data Science Salle-Info 210B Erwan Le Pennec, Université Paris-Saclay 16:00 - 18:00 (2h) Tutorial: Implémentation d’une architecture microservices Cas pratique: Netflix Salle-Info 210A David Level, Architecte Logiciel chez Placeloop 16:00 - 18:00 (2h) Tutorial: Internet of Things, CISCO Salle-Info 203 Philippe Arnould, Université de Pau	Key Note: Big Data Analytics: From SQL to Hadoop and Beyond 8:30 - 9:45 (1h15) Key Note: Big Data Analytics: From SQL to Hadoop and Beyond Amphi G Nicolas Spyratos, Université Paris Sud Key Note: From batch to stream processing of massive data 9:45 - 10:45 (1h) Key Note: From batch to stream processing of massive data Amphi G Dario Colazzo, Université Paris Dauphine Coffee break 10:45 - 11:00 (15min) Coffee break Tutorial: IoT Systems interoperability 11:00 - 13:00 (2h) Tutorial: IoT Systems interoperability Amphi G Mahdi BEN ALAYA and Khalil DRIRA https://microandbig.sciencesconf.org/data/program/tutorial_MBA_GhGh_KD_Ecole_hive.pdf Lunch 13:00 - 14:00 (1h) Lunch Tutorial : Analyses of Big Data and Genetic Programming Tutorial : Machine Learning and application to text mining Tutorial : Big Data Algorithm and Programming in Spark and Hive 14:00 - 15:45 (1h45) Tutorial : Analyses of Big Data and Genetic Programming Salle-Info 210B Sana Ben Hamida, Université de Nanterre 14:00 - 15:45 (1h45) Tutorial : Machine Learning and application to text mining Salle-Info 203 Ana Karina Fermin, Université de Nanterre 14:00 - 15:45 (1h45) Tutorial : Big Data Algorithm and Programming in Spark and Hive Salle-Info 210A Dario Colazzo, Université Paris Dauphine and Amine Baazizi, Université Paris 6 Coffee break 15:45 - 16:00 (15min) Coffee break Tutorial : Analyses of Big Data and Genetic Programming Tutorial : Machine Learning and application to text mining Tutorial : Big Data Algorithms and Programming in Spark and Hive 16:00 - 18:00 (2h) Tutorial : Analyses of Big Data and Genetic Programming Salle-Info 210B Sana Ben Hamida, Université de Nanterre 16:00 - 18:00 (2h) Tutorial : Machine Learning and application to text mining Salle-Info 203 Ana Karina Fermin, Université de Nanterre 16:00 - 18:00 (2h) Tutorial : Big Data Algorithms and Programming in Spark and Hive Salle-Info 210A Dario Colazzo, Université Paris Dauphine and Amine Baazizi, Université Paris 6	Tutorial: Virtual Reality Tutorial: Business Intelligence and Business Analytics cloud computing platform for Autonomic Systems Tutorial: Constraints-based Data Mining 8:30 - 10:30 (2h) Tutorial: Virtual Reality Salle-Info 210B Davy Monticolo, Université de Lorraine and Alex Gabriel, Ecole Nationale Supérieure d’Arts et Métiers, Paris. 8:30 - 10:30 (2h) Tutorial: Business Intelligence and Business Analytics cloud computing platform for Autonomic Systems Salle-Info 210A Ernesto Exposito and Fannia Pacheco, Université de Pau 8:30 - 10:30 (2h) Tutorial: Constraints-based Data Mining Salle-Info 203 Lakhdar Sais, Université de Lille Coffee break 10:30 - 10:45 (15min) Coffee break Tutorial: Virtual Reality and Data Mining Tutorial: Business Intelligence and Business Analytics cloud computing platform for Autonomic Systems Tutorial: Constraints-based Data Mining 10:45 - 12:45 (2h) Tutorial: Virtual Reality and Data Mining Salle-Info 210B Davy Monticolo, Université de Lorraine and Alex Gabriel, Ecole Nationale Supérieure d’Arts et Métiers, Paris. 10:45 - 12:45 (2h) Tutorial: Business Intelligence and Business Analytics cloud computing platform for Autonomic Systems Salle-Info 210A Ernesto Exposito and Fannia Pacheco, Université de Pau 10:45 - 12:45 (2h) Tutorial: Constraints-based Data Mining Salle-Info 203 Lakhdar Sais, Université de Lille Breakfast 12:45 - 14:00 (1h15) Breakfast Key Note: Web Data Management, 14:00 - 15:15 (1h15) Key Note: Web Data Management, Amphi D Marie-Christine Rousset, Universite Grenoble Alpes (UGA) Use Case: Enterprise HUPI 15:15 - 16:15 (1h) Use Case: Enterprise HUPI Amphi D Vincent MORENO, Enterprise HUPI, Bidart, France Coffee break 16:15 - 16:30 (15min) Coffee break Discussion Panel 16:30 - 18:00 (1h30) Discussion Panel Amphi D Close Ceremony 18:00 - 18:30 (30min) Close Ceremony Amphi D

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