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Computational Ecology and Environmental Science
 

Environmental Scenario Search Engine

Data mining tools to explore exponentially growing archives of environmental sciences.


The increasing data volumes from today’s collection systems and the need of the scientific community to include an integrated and authoritative representation of the natural environment in analysis requires a new approach to data mining, management and access. The natural environment includes elements from multiple domains such as space, terrestrial weather, oceans and terrain.

The aim of the project is to develop tools to do fuzzy queries on terabyte datasets. The ESSE architecture will rely heavily on the fuzzy logic data mining web-services to perform searching and statistical analysis of the distribution of the identified events for the user. It will allow parallel mining over the web services of distributed data sources, possibly from different subject areas of the Earth sciences, but sharing the same metadata scheme and data exchange formats.

Research Team

Software

Publications

  • Mikhail Zhizhin, Alexei Poyda, Dmitry Mishin, Dmitry Medvedev, Eric Kihn, Vassily Lyutsarev. Scenario Search on the Grid of Environmental Data Sources. Microsoft Research Technical Report (MSR-TR-2006-72), July 2006. [pdf]

 

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