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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...
Autores principales: | , |
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Lenguaje: | eng |
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Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-26989-4 http://cds.cern.ch/record/2120230 |
_version_ | 1780949306764689408 |
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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. |
id | cern-2120230 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
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 |
work_keys_str_mv | AT japkowicznathalie bigdataanalysisnewalgorithmsforanewsociety AT stefanowskijerzy bigdataanalysisnewalgorithmsforanewsociety |