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Multivariate Analysis and Classification of Large Astronomical Databases
1992An overview is presented of how astronomical data can differ from data in other fields. Since annotated bibliographies of multivariate methods in astronomy are to be found in Murtagh and Heck (1987), we concentrate here on the analysis of what have been characterized as “messy data”. Second, some issues related to input data types are reviewed.
Fionn Murtagh, Murtagh Fionn
exaly +3 more sources
Astronomical bibliography from commercial databases
Astrophysics and Space Science Library, 1991There are now many databases that concentrate on astronomical data from specific missions, such as the IUE, ERAS and EXOSAT, to name three, which can be accessed via the facilities at which they are archived and made available (see related chapters, this book). We have come a very long way in the last few years in improving the access to these data.
exaly +2 more sources
Artificial Intelligence Tools for Data Mining in Large Astronomical Databases
2006The federation of heterogeneous large astronomical databases foreseen in the framework of the AVO and NVO projects will pose unprecedented data mining and visualization problems which may find a rather natural and user friendly answer in artificial intelligence (A.I.) tools based on neural networks, fuzzy-C sets or genetic algorithms.
LONGO G +8 more
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CfunBASE: A Cosmological Functions Library for Astronomical Databases
Publications of the Astronomical Society of the Pacific, 2010M. Taghizadeh-Popp
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International Conference on Statistical and Scientific Database Management, 2012
Multi-wavelength astronomical studies require cross-identification of detections of the same celestial objects in multiple catalogs based on spherical coordinates and other properties.
L. Dobos +4 more
semanticscholar +1 more source
Multi-wavelength astronomical studies require cross-identification of detections of the same celestial objects in multiple catalogs based on spherical coordinates and other properties.
L. Dobos +4 more
semanticscholar +1 more source
Astronomical Society of the Pacific Conference Series
Digital sky surveys can image many millions of extra-galactic objects. While most of these objects are galaxies of known types, a small portion have rarely or never been seen before.
L. Shamir
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Digital sky surveys can image many millions of extra-galactic objects. While most of these objects are galaxies of known types, a small portion have rarely or never been seen before.
L. Shamir
semanticscholar +1 more source
Machine Learning Bias and the Annotation of Large Databases of Astronomical Objects
Astronomical Society of the Pacific Conference SeriesOne of the common approaches to annotating astronomical databases is by applying machine learning (ML), and specifically artificial neural networks (ANNs). But while ANNs can be invaluable for astronomy, they also have several downsides.
Hunter Goddard, L. Shamir
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WWW ACCESS TO ASTRONOMICAL ARCHIVES AND DATABASES
International Journal of Modern Physics C, 1994In this document, an approach to the development of WWW-accessible astronomical archives and databases is described, which can easily be extended also to other disciplines. The architecture is based on a set of servers running at the archive site, each performing a specialized task: accessing an SQL-based DBMS, retrieving and downlinking 1-D or 2-D ...
FABIO PASIAN, RICCARDO SMAREGLIA
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AstroBase: Distributed Long-Term Astronomical Database
2019China’s self-developed GWAC is different from previous astronomical projects. GWAC consists of 40 wide-angle telescopes, collecting image data of the entire sky every 15 s, and requires data to be processed and alerted in real time within 15 s. These requirements are due to GWAC.
Kenan Liang +4 more
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