Editorial: Innovative Analysis Ecosystems for HEP Data

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This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.

Detalles Bibliográficos
Autores principales: Sekmen, Sezen, Innocenti, Gian Michele, Jayatilaka, Bo
Lenguaje:eng
Publicado: 2021
Materias:
Data Analysis and Statistics
Acceso en línea:https://dx.doi.org/10.3389/fdata.2021.736105
http://cds.cern.ch/record/2812539
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author Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
author_facet Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
author_sort Sekmen, Sezen
collection CERN
description This editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.
id cern-2812539
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-28125392022-06-17T19:10:51Zdoi:10.3389/fdata.2021.736105http://cds.cern.ch/record/2812539engSekmen, SezenInnocenti, Gian MicheleJayatilaka, BoEditorial: Innovative Analysis Ecosystems for HEP DataData Analysis and StatisticsThis editorial summarizes the contributions to the Frontiers Research topic “Innovative Analysis Ecosystems for HEP Data”, established under the Big Data and AI in High Energy Physics section and appearing under the Frontiers in Big Data and Frontiers in Artificial Intelligence journals.oai:cds.cern.ch:28125392021
spellingShingle Data Analysis and Statistics
Sekmen, Sezen
Innocenti, Gian Michele
Jayatilaka, Bo
Editorial: Innovative Analysis Ecosystems for HEP Data
title Editorial: Innovative Analysis Ecosystems for HEP Data
title_full Editorial: Innovative Analysis Ecosystems for HEP Data
title_fullStr Editorial: Innovative Analysis Ecosystems for HEP Data
title_full_unstemmed Editorial: Innovative Analysis Ecosystems for HEP Data
title_short Editorial: Innovative Analysis Ecosystems for HEP Data
title_sort editorial: innovative analysis ecosystems for hep data
topic Data Analysis and Statistics
url https://dx.doi.org/10.3389/fdata.2021.736105
http://cds.cern.ch/record/2812539
work_keys_str_mv AT sekmensezen editorialinnovativeanalysisecosystemsforhepdata
AT innocentigianmichele editorialinnovativeanalysisecosystemsforhepdata
AT jayatilakabo editorialinnovativeanalysisecosystemsforhepdata

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