Data Science and Engineering

Data Science and Engineering

Bibliographic Details
Format: journal
Language:English
Published: SpringerOpen 2017
Subjects:
data collection
data management
big data
knowledge extraction
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
Online Access:https://doaj.org/toc/2364-1541
id oai:doaj.org-journal:5437d0739b3946c6abf0815e8f4666be
record_format dspace
spelling oai:doaj.org-journal:5437d0739b3946c6abf0815e8f4666be2024-04-10T15:36:51ZData Science and Engineering2364-15412364-1185https://doaj.org/toc/2364-1541ENCC BYSpringerOpenhttp://www.springer.com/41019http://www.springer.com/computer/database+management+%26+information+retrieval/journal/410192017-10-02T09:42:02Zjournaldata collectiondata managementbig dataknowledge extractionInformation technologyT58.5-58.64Electronic computers. Computer scienceQA75.5-76.95
institution DOAJ
collection DSpace
language English
topic data collection
data management
big data
knowledge extraction
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
spellingShingle data collection
data management
big data
knowledge extraction
Information technology
T58.5-58.64
Electronic computers. Computer science
QA75.5-76.95
Data Science and Engineering
format journal
title Data Science and Engineering
title_short Data Science and Engineering
title_full Data Science and Engineering
title_fullStr Data Science and Engineering
title_full_unstemmed Data Science and Engineering
title_sort data science and engineering
publisher SpringerOpen
publishDate 2017
url https://doaj.org/toc/2364-1541
_version_ 1801185030084493312

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