Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /

Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

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Main Authors: Brown, Timothy J. editor., Mielke, Paul W. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US : Imprint: Springer, 2000
Subjects:Computer science., Data structures (Computer science)., Artificial intelligence., Geographical information systems., Statistics., Computer Science., Data Structures, Cryptology and Information Theory., Geographical Information Systems/Cartography., Artificial Intelligence (incl. Robotics)., Statistics, general.,
Online Access:http://dx.doi.org/10.1007/978-1-4757-6581-6
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spelling KOHA-OAI-TEST:1987632018-07-30T23:25:18ZStatistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / Brown, Timothy J. editor. Mielke, Paul W. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2000.engStatistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.Guest Editorial: Statistical Mining and Daata Visualization in Atmospheric Sciences -- Euclidean Distance Based Permutation Methods in Atmospheric Science -- Bootstrapping to Assess and Improve Atmospheric Prediction Models -- Using Linked Micromap Plots to Characterize Omernik Ecoregions -- Visual Data Mining in Atmospheric Science Data.Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.Computer science.Data structures (Computer science).Artificial intelligence.Geographical information systems.Statistics.Computer Science.Data Structures, Cryptology and Information Theory.Geographical Information Systems/Cartography.Artificial Intelligence (incl. Robotics).Statistics, general.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-6581-6URN:ISBN:9781475765816
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
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databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Data structures (Computer science).
Artificial intelligence.
Geographical information systems.
Statistics.
Computer Science.
Data Structures, Cryptology and Information Theory.
Geographical Information Systems/Cartography.
Artificial Intelligence (incl. Robotics).
Statistics, general.
Computer science.
Data structures (Computer science).
Artificial intelligence.
Geographical information systems.
Statistics.
Computer Science.
Data Structures, Cryptology and Information Theory.
Geographical Information Systems/Cartography.
Artificial Intelligence (incl. Robotics).
Statistics, general.
spellingShingle Computer science.
Data structures (Computer science).
Artificial intelligence.
Geographical information systems.
Statistics.
Computer Science.
Data Structures, Cryptology and Information Theory.
Geographical Information Systems/Cartography.
Artificial Intelligence (incl. Robotics).
Statistics, general.
Computer science.
Data structures (Computer science).
Artificial intelligence.
Geographical information systems.
Statistics.
Computer Science.
Data Structures, Cryptology and Information Theory.
Geographical Information Systems/Cartography.
Artificial Intelligence (incl. Robotics).
Statistics, general.
Brown, Timothy J. editor.
Mielke, Paul W. editor.
SpringerLink (Online service)
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
description Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
format Texto
topic_facet Computer science.
Data structures (Computer science).
Artificial intelligence.
Geographical information systems.
Statistics.
Computer Science.
Data Structures, Cryptology and Information Theory.
Geographical Information Systems/Cartography.
Artificial Intelligence (incl. Robotics).
Statistics, general.
author Brown, Timothy J. editor.
Mielke, Paul W. editor.
SpringerLink (Online service)
author_facet Brown, Timothy J. editor.
Mielke, Paul W. editor.
SpringerLink (Online service)
author_sort Brown, Timothy J. editor.
title Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
title_short Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
title_full Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
title_fullStr Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
title_full_unstemmed Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
title_sort statistical mining and data visualization in atmospheric sciences [electronic resource] /
publisher Boston, MA : Springer US : Imprint: Springer,
publishDate 2000
url http://dx.doi.org/10.1007/978-1-4757-6581-6
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