Handbook of big data analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools,...

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Detalles Bibliográficos
Autores principales: Härdle, Wolfgang, Lu, Henry, Shen, Xiaotong
Lenguaje:eng
Publicado: Springer 2018
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-18284-1
http://cds.cern.ch/record/2633956
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author Härdle, Wolfgang
Lu, Henry
Shen, Xiaotong
author_facet Härdle, Wolfgang
Lu, Henry
Shen, Xiaotong
author_sort Härdle, Wolfgang
collection CERN
description Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science. .
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institution Organización Europea para la Investigación Nuclear
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spelling cern-26339562021-04-21T18:44:50Zdoi:10.1007/978-3-319-18284-1http://cds.cern.ch/record/2633956engHärdle, WolfgangLu, HenryShen, XiaotongHandbook of big data analyticsMathematical Physics and MathematicsAddressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science. .Springeroai:cds.cern.ch:26339562018
spellingShingle Mathematical Physics and Mathematics
Härdle, Wolfgang
Lu, Henry
Shen, Xiaotong
Handbook of big data analytics
title Handbook of big data analytics
title_full Handbook of big data analytics
title_fullStr Handbook of big data analytics
title_full_unstemmed Handbook of big data analytics
title_short Handbook of big data analytics
title_sort handbook of big data analytics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-18284-1
http://cds.cern.ch/record/2633956
work_keys_str_mv AT hardlewolfgang handbookofbigdataanalytics
AT luhenry handbookofbigdataanalytics
AT shenxiaotong handbookofbigdataanalytics

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