Overview
- 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
Part of the book series: Springer Series in Astrostatistics (SSIA, volume 2)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (28 chapters)
-
Contributed Talks
Keywords
About this book
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.
Reviews
From the book reviews:
“This book is the result of a 2011 Workshop on Astrostatistics and Data Mining, held on the island of in La Palma. … The book provides a convenient description of many new and planned datasets, with relatively succinct statistical analyses, many of which adopt a Bayesian framework. I believe the book will be most appreciated by astronomers and applied statisticians and note that the four editors include a statistician and several astronomers.” (Thomas Burr, Technometrics, Vol. 55 (4), November, 2013)
Editors and Affiliations
Bibliographic Information
Book Title: Astrostatistics and Data Mining
Editors: Luis Manuel Sarro, Laurent Eyer, William O'Mullane, Joris De Ridder
Series Title: Springer Series in Astrostatistics
DOI: https://doi.org/10.1007/978-1-4614-3323-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-3322-4Published: 04 August 2012
Softcover ISBN: 978-1-4899-9917-7Published: 19 September 2014
eBook ISBN: 978-1-4614-3323-1Published: 04 August 2012
Series ISSN: 2199-1030
Series E-ISSN: 2199-1049
Edition Number: 1
Number of Pages: XII, 272
Topics: Astronomy, Astrophysics and Cosmology, Statistics, general, Astrophysics and Astroparticles, Statistical Theory and Methods