Program
Monday, September 8, 2014
Time |
Event |
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09:00 - 10:00
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Onsite registration - Badge distribution and welcome coffee |
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10:00 - 10:10
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Welcome speech and introduction to the event (Main room) - Dr. G. Maze |
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10:10 - 12:00
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Opportunities and Challenges in Mining Earth System Data (Main room) - Prof. Vipin Kumar |
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12:00 - 14:00
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Lunch (Main room) |
|
14:00 - 15:30
|
Statistical Methods for detecting and attributing climate changes (Main room) - Dr. Philippe Naveau |
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15:30 - 16:00
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Coffee break (Main room) |
|
16:00 - 17:30
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Introduction to data mining. Example of remote sensing image analysis (Main room) - Prof. Pierre Gançarski |
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18:00 - 20:00
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Poster session - cocktail/buffet - The poster session aims at fostering interactions between the data mining and oceanographic community. |
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Tuesday, September 9, 2014
Time |
Event |
|
09:00 - 10:30
|
SVM and kernel machines: linear and non-linear classification (Main room) - Prof. Stéphane Canu |
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10:30 - 11:00
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Coffee break (Main room) |
|
11:00 - 12:00
|
Discussion with the speaker and other experts on data mining (Main room) |
|
12:00 - 14:00
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Lunch (Main room) |
|
14:00 - 15:30
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Practice session 1 - The methods presented during the morning lecture will be tested using simple examples and real case scenario |
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15:30 - 16:00
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Coffee break (Main room) |
|
16:00 - 17:00
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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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