Big Data Mining and Analytics

Big Data Mining and Analytics

Bibliographic Details
Format: journal
Language:English
Published: Tsinghua University Press 2022
Subjects:
data science
data mining
big data
artificial intelligence
computer science
machine learning
Electronic computers. Computer science
QA75.5-76.95
Online Access:https://doaj.org/toc/2096-0654
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spelling oai:doaj.org-journal:0161de6d312246648625e9182d5c64f82023-03-29T11:34:55ZBig Data Mining and Analytics2096-0654https://doaj.org/toc/2096-0654ENCC BYTsinghua University Presshttps://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253https://ieeexplore.ieee.org/Xplorehelp/downloads/journal-assets/BDMA/OA_Policy_BDMA-20220324.pdfhttps://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=8254253https://ieeexplore.ieee.org/Xplorehelp/downloads/journal-assets/BDMA/Instructions_for_Authors_BDMA.pdf2022-04-26T09:52:28Zjournaldata sciencedata miningbig dataartificial intelligencecomputer sciencemachine learningElectronic computers. Computer scienceQA75.5-76.95
institution DOAJ
collection DSpace
language English
topic data science
data mining
big data
artificial intelligence
computer science
machine learning
Electronic computers. Computer science
QA75.5-76.95
spellingShingle data science
data mining
big data
artificial intelligence
computer science
machine learning
Electronic computers. Computer science
QA75.5-76.95
Big Data Mining and Analytics
format journal
title Big Data Mining and Analytics
title_short Big Data Mining and Analytics
title_full Big Data Mining and Analytics
title_fullStr Big Data Mining and Analytics
title_full_unstemmed Big Data Mining and Analytics
title_sort big data mining and analytics
publisher Tsinghua University Press
publishDate 2022
url https://doaj.org/toc/2096-0654
_version_ 1801185104717938688

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