SDC, Data Science and Knowledge

Difference between revisions of "Applied research areas"

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Description
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Knowledge extraction from environmental spatio-temporal data
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Spatio-temporal data are numerous in environmental domains, e.g. agrobiology or hydroecology. These domains also require  to develop operational tools to help in the interpretation of the complex information concerning their functioning, as well as  the results of ongoing action programmes. To exploit these data we  adopt a knowledge discovery process. We both work on data structuration and preparation, and propose to explore various data mining approaches and make them collaborating, always involving experts from other labs (LIVE Strasbourg, TETIS Montpellier, INRA Mirecourt).

Revision as of 12:56, 4 January 2016

Knowledge extraction from environmental spatio-temporal data

Spatio-temporal data are numerous in environmental domains, e.g. agrobiology or hydroecology. These domains also require to develop operational tools to help in the interpretation of the complex information concerning their functioning, as well as the results of ongoing action programmes. To exploit these data we adopt a knowledge discovery process. We both work on data structuration and preparation, and propose to explore various data mining approaches and make them collaborating, always involving experts from other labs (LIVE Strasbourg, TETIS Montpellier, INRA Mirecourt).