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2nd INNS Conference on Big Data

The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspir...

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Detalles Bibliográficos
Autores principales: Angelov, Plamen, Manolopoulos, Yannis, Iliadis, Lazaros, Roy, Asim, Vellasco, Marley
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-47898-2
http://cds.cern.ch/record/2240881
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author Angelov, Plamen
Manolopoulos, Yannis
Iliadis, Lazaros
Roy, Asim
Vellasco, Marley
author_facet Angelov, Plamen
Manolopoulos, Yannis
Iliadis, Lazaros
Roy, Asim
Vellasco, Marley
author_sort Angelov, Plamen
collection CERN
description The book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.
id cern-2240881
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Springer
record_format invenio
spelling cern-22408812021-04-22T06:38:48Zdoi:10.1007/978-3-319-47898-2http://cds.cern.ch/record/2240881engAngelov, PlamenManolopoulos, YannisIliadis, LazarosRoy, AsimVellasco, Marley2nd INNS Conference on Big DataEngineeringThe book offers a timely snapshot of neural network technologies as a significant component of big data analytics platforms. It promotes new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units (GPUs), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management). The book, which reports on the second edition of the INNS Conference on Big Data, held on October 23–25, 2016, in Thessaloniki, Greece, depicts an interesting collaborative adventure of neural networks with big data and other learning technologies.Springeroai:cds.cern.ch:22408812017
spellingShingle Engineering
Angelov, Plamen
Manolopoulos, Yannis
Iliadis, Lazaros
Roy, Asim
Vellasco, Marley
2nd INNS Conference on Big Data
title 2nd INNS Conference on Big Data
title_full 2nd INNS Conference on Big Data
title_fullStr 2nd INNS Conference on Big Data
title_full_unstemmed 2nd INNS Conference on Big Data
title_short 2nd INNS Conference on Big Data
title_sort 2nd inns conference on big data
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-47898-2
http://cds.cern.ch/record/2240881
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AT manolopoulosyannis 2ndinnsconferenceonbigdata
AT iliadislazaros 2ndinnsconferenceonbigdata
AT royasim 2ndinnsconferenceonbigdata
AT vellascomarley 2ndinnsconferenceonbigdata