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Astrostatistics and Data Mining (Record no. 23065)

000 -LEADER
fixed length control field 04646nam a22005175i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151447.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120803s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461433231
978-1-4614-3323-1
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QB1-991
Classification number QB460-466
Classification number QB980-991
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 520
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sarro, Luis Manuel.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Astrostatistics and Data Mining
Medium [electronic resource] /
Statement of responsibility, etc edited by Luis Manuel Sarro, Laurent Eyer, William O'Mullane, Joris De Ridder.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 270 p. 85 illus., 49 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Astrostatistics ;
Volume number/sequential designation 2
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note ??? 'Science with Gaia: how will we deal with a complex billion-source  catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads) -- 'Recent Advances in cosmological Bayesian model comparison' by  Roberto Trotta (University College London, UK) -- 'The Art of Data Science' by  Matthew Graham (Center for Advanced  Computing Research, California Institute  of Technology, USA) -- 'Astronomical Surveys: from SDSS to LSST' by Robert Lupton  (Princeton University, USA) -- 'Exoplanet demography, quasar target selection, and probabilistic  redshift estimation:  Hierarchical models for density estimation,  classification, and regression.' by David Hogg (New York University,  USA) -- 'Learning to disentangle Exoplanet signals from correlated noise'  by Suzanne Aigrain (Oxford University, UK) -- Astroinformatics and data mining: how to cope with the data  tsunami' by Giuseppe Longo (Federico II University, Italy) -- Advanced statistical techniques for the processing of astronomical data: time series, images, low number statistics for high energy photons, heteroskedastic data, non-detections -- Challenges in the data mining of astronomical databases: the class imbalance in training sets or how to define prior robust preprocessing for supervised/unsupervised classification robust inference with heterogeneous datasets, how to combine observations, models, priors, etc in a training/test set error propagation -- The challenge of petabyte size databases: scalability, parallel computing, accuracy -- Geometric data organization, sky indexing for efficient data retrieval, intelligent access to petabyte size databases -- Knowledge Discovery in astronomical archives: outlier detection, new object types, parametric inference, model fitting and model selection, etc -- Combining the classical domain knowledge approach with machine learning techniques -- Global approaches for global datasets. The Galaxy zoo and the Universe zoo -- The Virtual Observatories, Data Mining and Astrostatistics: software, standards, protocols.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Physics.
Topical term or geographic name as entry element Astronomy.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Physics.
Topical term or geographic name as entry element Astronomy, Astrophysics and Cosmology.
Topical term or geographic name as entry element Statistics, general.
Topical term or geographic name as entry element Astrophysics and Astroparticles.
Topical term or geographic name as entry element Statistical Theory and Methods.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Eyer, Laurent.
Relator term editor.
Personal name O'Mullane, William.
Relator term editor.
Personal name De Ridder, Joris.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461433224
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-3323-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library520
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