Data mining in large sets of complex oceanic data: new challenges and solutions
8-9 Sep 2014 Brest (France)

Program

Monday, September 8, 2014

Time Event  
09:00 - 10:00 Onsite registration - Badge distribution and welcome coffee  
10:00 - 10:10 Welcome speech and introduction to the event (Main room) - Dr. G. Maze  
10:10 - 12:00 Opportunities and Challenges in Mining Earth System Data (Main room) - Prof. Vipin Kumar
 
12:00 - 14:00 Lunch (Main room)  
14:00 - 15:30 Statistical Methods for detecting and attributing climate changes (Main room) - Dr. Philippe Naveau
 
15:30 - 16:00 Coffee break (Main room)  
16:00 - 17:30 Introduction to data mining. Example of remote sensing image analysis (Main room) - Prof. Pierre Gançarski
 
18:00 - 20:00 Poster session - cocktail/buffet - The poster session aims at fostering interactions between the data mining and oceanographic community.  

Tuesday, September 9, 2014

Time Event  
09:00 - 10:30 SVM and kernel machines: linear and non-linear classification (Main room) - Prof. Stéphane Canu
 
10:30 - 11:00 Coffee break (Main room)  
11:00 - 12:00 Discussion with the speaker and other experts on data mining (Main room)  
12:00 - 14:00 Lunch (Main room)  
14:00 - 15:30 Practice session 1 - The methods presented during the morning lecture will be tested using simple examples and real case scenario  
15:30 - 16:00 Coffee break (Main room)  
16:00 - 17:00 Practice session 2 - Tackle other exercises or bring in your own data and engage with the experts to start using the new methods  
  
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