Science Data Mining Resources for the National Virtual Observatory (NVO)

Details Science Data Mining Resources for the National Virtual Observatory (NVO) Science Data Mining Resources for the National Virtual Observatory (NVO)

Dec 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001aas...199.1005b&link_type=abstract

American Astronomical Society, 199th AAS Meeting, #10.05; Bulletin of the American Astronomical Society, Vol. 33, p.1321

Computer Science

Databases

Scientific paper

NASA's Astronomical Data Center (ADC) has established a researcher's guide to Data Mining Resources for Space Science (http://adc.gsfc.nasa.gov/adc/adc_datamining.html). Data mining is defined as ``an information extraction activity whose goal is to discover hidden facts contained in databases.'' Application of data mining tools and techniques will enable the data-intensive scientific discovery capabilities that will be required of the new envisioned National Virtual Observatory (NVO). The ADC's resource guide includes extensive reference material for the NVO and large astronomical surveys, as well as for related computer information technologies (e.g., XML and the GRID). Examples of several data mining techniques and related NVO science research scenarios will be presented. Of particular interest are data mining techniques of two types: (1) visual data mining, which includes graphical browse displays of statistical data; and (2) temporal data mining, with direct application to large time series databases, such as that generated by the MACHO project. Data mining challenges will also be presented, including: (a) distributed data mining across multiple data sources (i.e., the NVO); (b) data mining across multiple data types (e.g, fusion of search results from astronomical catalog and image databases); and (c) education and public outreach possibilities (e.g., search for incoming asteroids, or new comets, or new types of variable stars within the new huge astronomical survey databases). A possible ``NVO@Home'' implementation would naturally employ a combination of visual and temporal data mining techniques.

Affiliated with

Also associated with

No associations

Rating

Science Data Mining Resources for the National Virtual Observatory (NVO) does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Science Data Mining Resources for the National Virtual Observatory (NVO), we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Science Data Mining Resources for the National Virtual Observatory (NVO) will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1229153