Big Data Mining and Analytics

Λεπτομέρειες βιβλιογραφικής εγγραφής
Μορφή:	journal
Γλώσσα:	English
Έκδοση:	Tsinghua University Press 2022
Θέματα:	data science data mining big data artificial intelligence computer science machine learning Electronic computers. Computer science QA75.5-76.95
Διαθέσιμο Online:	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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