Data modeling for virtual observatory data mining

Jaenisch, Holger, Handley, James, Lim, Albert, Filipovic, Miroslav, White, Graeme, Hons, Alex, Deragopian, Gary, Schneider, Mark, and Edwards, Matthew (2004) Data modeling for virtual observatory data mining. In: Proceedings of SPIE (5493), pp. 198-220. From: Optimizing Scientific Return for Astronomy through Information Technologies, 21 June 2004, Glasgow, Scotland.

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Abstract

We propose a novel approach for index-tagging Virtual Observatory data files with descriptive statistics enabling rapid data mining and mathematical modeling. This is achieved by calculating at data collection time 6 standard moments as descriptive file tags. Data Change Detection Models are derived from these tags and used to filter databases for similar or dissimilar information such as stellar spectra, photometric data, images, and text. Currently, no consistent or reliable method for searching, collating, and comparing 2-D imagery exists. Traditionally, methods used to address these data problems are disparate and unrelated to text data mining and extraction. We explore the use of mathematical Data Models as a unifying tool set for enabling data mining across all data class domains.

Item ID: 27529
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: data analysis; data mining; data modeling; databases; mathematical modeling; observatories
ISSN: 1996-756X
Date Deposited: 10 Sep 2013 05:04
FoR Codes: 02 PHYSICAL SCIENCES > 0299 Other Physical Sciences > 029999 Physical Sciences not elsewhere classified @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080604 Database Management @ 50%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 100%
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