Data science – big data – scientific data – cloud computing – peer to peer – data integration – analytics – machine learning – information search – privacy
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Scientific fields: Computer sciences |
The Joint research team ZENITH brings to #DigitAg its expertise in data science, notably in management of distributed and parallel data, data integration, scientific workflows processing and big data analysis.
Research axis #DigitAg: 4 – 5 | Challenges: 5
Contact the ZENITH Staff
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Website |
Director: Patrick Valduriez – +33 (0)4 67 14 97 26 |
Organizations: Inria – CNRS – University of Montpellier |
Research topics
Data and data flux handling
- Data and Data flux handling
- Data search: machine learning, content-based picture search
- Data analysis: data mining, management of scientific workflows
- Data Integration: crowdsourcing, semantic integration of metadata (pattern, ontologies)
- Management of distributed data: distributed storage, indexation, privacy
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All the publications of ZENITH Joint Research Team |