Distributed data mining in the National Virtual Observatory

Details Distributed data mining in the National Virtual Observatory Distributed data mining in the National Virtual Observatory

Mar 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003spie.5098..211b&link_type=abstract

Data Mining and Knowledge Discovery: Theory, Tools, and Technology V. Edited by Belur V. Dasarathy. Proceedings of the SPIE, Vo

Astronomy and Astrophysics

Astronomy

2

Scientific paper

The astronomy research community is about to become the beneficiary of huge multi-terabyte databases from a host of sky surveys. The rich and diverse information content within this "virtual sky" and the array of results to be derived therefrom will far exceed the current capacity of data search and research tools. The new digital surveys have the potential of facilitating a wide range of scientific discoveries about the Universe! To enable this to happen, the astronomical community is embarking on an ambitious endeavor, the creation of a National Virtual Observatory (NVO). This will in fact develop into a Global Virtual Observatory. To facilitate the new type of science enabled by the NVO, new techniques in data mining and knowledge discovery in large databases must be developed and deployed, and the next generation of astronomers must be trained in these techniques. This activity will benefit greatly from developments in the fields of information technology, computer science, and statistics. Aspects of the NVO initiative, including sample science user scenarios and user requirements will be presented. The value of scientific data mining and some early test case results will be discussed in the context of the speaker's research interests in colliding and merging galaxies.

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