Data Mining in Astronomy
Scientific databases are growing in size at such a pace where the traditional techniques for analysis and visualization of the data are no longer adequate in explaining the scientific phenomena actually being captured in the data. Data mining methods are being employed to supplement traditional analysis and visualization techniques to uncover complex patterns deeply imbedded within the ever-growing volumes of observations. This chapter will attempt to stimulate the readers understanding of how data mining methods are being used to uncover some of the mysteries of the universe. The gains being made to uncover complex astronomical phenomena have been largely related to the ability to mine large-scale databases of deep space observations. The chapter will conclude with a review of some of the daunting challenges and opportunities facing professional astronomers and how computational and observational techniques combine in the attempt to reveal the age old questions of how the heavens were formed.
Keywordsdata mining astronomy pattern classification Sloan digital sky survey digital sky maps astronomical data warehouses virtual observatories
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- Britt R. R. Study Doubles Number of Potential Earth-Like Planets. Space.com News, August 10, 2001.Google Scholar
- Dan Vergano. Astronomers discover solar systems like ours. USA Today, April 17, 2002.Google Scholar
- Diederich J. SETI-Now — Cluster computing for data mining in astronomical databases. 2000.Google Scholar
- Fayyad U., Stolorz P. Data mining and KDD: Promise and challenges. Future Generation Computer Systems, 99–115, 1997.Google Scholar
- NASA, ADC’s Data Mining Resources for Space Science. NASA GSFC, March 2002.Google Scholar
- Ng M., et al. Data-Mining Massive Time Series Astronomical Data Sets — A Case Study. 1999.Google Scholar
- Schade D., Dowler P., et al. A Data Mining Model for Astronomy ASP Conf. Ser., Vol. 216, Astronomical Data Analysis Software and Systems IX, 2000.Google Scholar
- Schurmann J. Pattern Classification — A Unified View of Statistical and Neural Approaches. New York: Wiley, 1996.Google Scholar
- Szalay A. S., Brunner R. J., Astronomical Archives of the Future: A Virtual Observatory, astro-ph/9812335 v1, 17 Dec 1998.Google Scholar
- Szalay A. S., et al. Designing and Mining Multi-Terabyte Astronomy Archives: The Sloan Digital Sky Survey. 2000.Google Scholar