Astrostatistics and Data Mining (Paperback, 2012 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Astrostatistics, 2
Release date:	September 2014
First published:	2012
Editors:	Luis Manuel Sarro • Laurent Eyer • William O'Mullane • Joris De Ridder
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	272
Edition:	2012 ed.
ISBN-13:	978-1-4899-9917-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Astronomy, space & time > Theoretical & mathematical astronomy Books > Science & Mathematics > Physics > Applied physics & special topics > Astrophysics Promotions
LSN:	1-4899-9917-5
Barcode:	9781489999177

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