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Titlebook: Astrostatistics and Data Mining; Luis Manuel Sarro,Laurent Eyer,Joris De Ridder Book 2012 Springer Science+Business Media New York 2012 As

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期刊全称Astrostatistics and Data Mining
影响因子2023Luis Manuel Sarro,Laurent Eyer,Joris De Ridder
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发行地址Provides a concise introduction to data mining and data analysis of astronomical data and astroinformatics in the context of many recent discoveries.Details various traditional and non-traditional met
学科分类Springer Series in Astrostatistics
图书封面Titlebook: Astrostatistics and Data Mining;  Luis Manuel Sarro,Laurent Eyer,Joris De Ridder Book 2012 Springer Science+Business Media New York 2012 As
影响因子​​​​​ ​This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research. The technical aspects related to the scientific analysis of the upcoming petabyte-scale databases are emphasized given the importance that scalable Knowledge Discovery techniques will have for the full exploitation of these databases..Based on the 2011 Astrostatistics and Data Mining in Large Astronomical Databases conference and school, this volume gathers examples of the work by leading authors in the areas of Astrophysics and Statistics, including a significant contribution from the various teams that prepared for the processing and analysis of the Gaia data.  .
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Extracting Knowledge from Massive Astronomical Data Setsew discipline lying at the intersection between astronomy, applied computer science, and information and computation technologies. At the very heart of astroinformatics is a complex set of methodologies usually called data mining (DM) or knowledge discovery in databases (KDD). In the astronomical do
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Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survece–Hawaii Telescope, from semesters 2009A–2012A. The survey will provide coverage of this nearby dense environment in the universe to unprecedented depth, providing profound insights into Galaxy formation and evolution, including definitive measurements of the properties of galaxies in a dense envir
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Probabilistic Description of Stellar Ensemblesuded in the considered resolution element, whatever its physical (stellar cluster) or artificial (pixel/IFU) nature. It provides a solution of the . of characterizing probabilistically the observables of stellar ensembles as a function of their physical properties. In addition, this characterization
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