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Astrostatistics and Data Mining - Eric Zacharias
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Astrostatistics and Data Mining - new book

2011, ISBN: 9781461433231

​​​​​ ​This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It present… More...

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Astrostatistics and Data Mining
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Astrostatistics and Data Mining - new book

2012, ISBN: 9781461433231

¿¿¿¿¿ ¿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 o… More...

Nr. 33783825. Shipping costs:, Sofort per Download lieferbar, DE. (EUR 0.00)
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Astrostatistics and Data Mining
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Astrostatistics and Data Mining - new book

2012

ISBN: 9781461433231

¿¿¿¿¿ ¿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 o… More...

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Astrostatistics and Data Mining - Luis Manuel Sarro; Luis Manuel Sarro; Laurent Eyer; Laurent Eyer; William O'Mullane; William O'Mullane; Joris De Ridder; Joris De Ridder
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Luis Manuel Sarro; Luis Manuel Sarro; Laurent Eyer; Laurent Eyer; William O'Mullane; William O'Mullane; Joris De Ridder; Joris De Ridder:
Astrostatistics and Data Mining - First edition

2012, ISBN: 9781461433231

[ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

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Astrostatistics and Data Mining - Luis Manuel Sarro; Laurent Eyer; William O'Mullane; Joris De Ridder
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Luis Manuel Sarro; Laurent Eyer; William O'Mullane; Joris De Ridder:
Astrostatistics and Data Mining - new book

2012, ISBN: 9781461433231

eBooks, eBook Download (PDF), 2012, [PU: Springer New York], Springer New York, 2012

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Astrostatistics and Data Mining
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1461433231

Details of the book - Astrostatistics and Data Mining


EAN (ISBN-13): 9781461433231
ISBN (ISBN-10): 1461433231
Publishing year: 2012
Publisher: Springer New York
270 Pages
Language: eng/Englisch

Book in our database since 2012-05-23T14:06:37+01:00 (London)
Detail page last modified on 2022-07-22T14:52:40+01:00 (London)
ISBN/EAN: 1461433231

ISBN - alternate spelling:
1-4614-3323-1, 978-1-4614-3323-1
Alternate spelling and related search-keywords:
Book author: ridder, joris, laurent, eyer, eye, jöris, sarro, jori, william man
Book title: data mining

Information from Publisher

Author: Luis Manuel Sarro; Laurent Eyer; William O'Mullane; Joris De Ridder
Title: Springer Series in Astrostatistics; Astrostatistics and Data Mining
Publisher: Springer; Springer US
272 Pages
Publishing year: 2012-08-04
New York; NY; US
Language: English
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XII, 272 p.

EA; E107; eBook; Nonbooks, PBS / Physik, Astronomie/Astronomie; Astronomie, Raum und Zeit; Verstehen; Astrostatistics; Data Mining; Statistical Astronomy; B; Astronomy, Cosmology and Space Sciences; Statistics; Astrophysics; Statistical Theory and Methods; Mathematics and Statistics; Wahrscheinlichkeitsrechnung und Statistik; Astrophysik; BB

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.
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 methodologies for analyzing and interpreting large scale data sets in this field? 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
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