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Big data analysis: new algorithms for a new society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a l...

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Detalles Bibliográficos
Autores principales: Japkowicz, Nathalie, Stefanowski, Jerzy
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-26989-4
http://cds.cern.ch/record/2120230
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author Japkowicz, Nathalie
Stefanowski, Jerzy
author_facet Japkowicz, Nathalie
Stefanowski, Jerzy
author_sort Japkowicz, Nathalie
collection CERN
description This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
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spelling cern-21202302021-04-21T19:55:55Zdoi:10.1007/978-3-319-26989-4http://cds.cern.ch/record/2120230engJapkowicz, NathalieStefanowski, JerzyBig data analysis: new algorithms for a new societyEngineeringThis edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.Springeroai:cds.cern.ch:21202302016
spellingShingle Engineering
Japkowicz, Nathalie
Stefanowski, Jerzy
Big data analysis: new algorithms for a new society
title Big data analysis: new algorithms for a new society
title_full Big data analysis: new algorithms for a new society
title_fullStr Big data analysis: new algorithms for a new society
title_full_unstemmed Big data analysis: new algorithms for a new society
title_short Big data analysis: new algorithms for a new society
title_sort big data analysis: new algorithms for a new society
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-26989-4
http://cds.cern.ch/record/2120230
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