Mathematics: Instruments and machines: Electronic computers. Computer science

Big Data Mining and Analytics

Tsinghua University Press · China · ISSN 2097-406X
No APC Verified OA Visit journal

Big Data Mining and Analytics is a peer-reviewed english-language open-access journal published by Tsinghua University Press in China, operating under an open-access model since 2018. The journal covers Mathematics: Instruments and machines: Electronic computers. Computer science.

Authors publish in Big Data Mining and Analytics without paying any article processing charge (APC) — making it a fully diamond/platinum open-access venue, supported entirely by its publisher or sponsor. Articles are released under the CC BY license (see other journals using this license).

Keywords

data science, data mining, big data, artificial intelligence, computer science, machine learning

At a glance

Country
China
Primary language
English
License
CC BY
Peer review
Anonymous peer review
OA since
2018

ISSN

print
2096-0654
electronic
2097-406X

Frequently asked questions

Is Big Data Mining and Analytics peer-reviewed?
Yes — Big Data Mining and Analytics operates a Anonymous peer review review process.
Does Big Data Mining and Analytics charge an article processing charge (APC)?
No. Big Data Mining and Analytics does not charge any APC. Publication is free for accepted authors.
What subjects does Big Data Mining and Analytics publish?
Big Data Mining and Analytics publishes research in Mathematics: Instruments and machines: Electronic computers. Computer science.
What languages does Big Data Mining and Analytics accept?
Big Data Mining and Analytics accepts manuscripts in English.
What is the ISSN of Big Data Mining and Analytics?
ISSN: 2096-0654 (print) · 2097-406X (electronic).
How do I submit a manuscript to Big Data Mining and Analytics?
Submit through the journal's official portal: visit submission page →

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