SDC, Data Science and Knowledge

Difference between revisions of "Data science"

From SDC, Data Science and Knowledge
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* data mining, eg. change of contexts and complex data representation,
 
* data mining, eg. change of contexts and complex data representation,
 
* machine learning, in particular collaborative clustering and complex aggregates.
 
* machine learning, in particular collaborative clustering and complex aggregates.
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==Old Presentation==
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https://sdc.icube.unistra.fr/en/index.php?title=Data_Mining

Latest revision as of 12:18, 9 July 2020

The context

Data science concerns extracting knowledge from data. Our research focuses on the development of machine learning methods and the knowledge extraction from complex data (eg. images, databases, etc.).

Main goals

  • to study and develop knowledge extraction methods,
  • to apply these methods to the analysis of complex data such as spatio-temporal data, databases or digital images.

Our research focuses on

  • data mining, eg. change of contexts and complex data representation,
  • machine learning, in particular collaborative clustering and complex aggregates.

Old Presentation

https://sdc.icube.unistra.fr/en/index.php?title=Data_Mining