Big Data Mining and Analytics
Open Access
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Key Metrics
Journal Specifications
Indexed in the following public directories
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Scopus 
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SJR
- PublisherTSINGHUA UNIV PRESS
- LanguageEnglish
- FrequencyQuarterly
- Publication Time8
- Editorial Review ProcessAnonymous peer review
- LanguageEnglish
- FrequencyQuarterly
- Publisher URL
- Website URL
- Plagiarism
- Publication Time8
- Editorial Team
- Review ProcessAnonymous peer review
- Review Url
- Author instructions
- Copyright Details
- License typeCC BY
- OA statement
Topics Covered on Big Data Mining and Analytics
Year-wise Publication
- 5Y
- 10Y
FAQs
How frequently is the Big Data Mining and Analytics published? 
Big Data Mining and Analytics is published Quarterly.
Who is the publisher of Big Data Mining and Analytics?
The publisher of Big Data Mining and Analytics is TSINGHUA UNIV PRESS.
How can I view the journal metrics of Big Data Mining and Analytics on editage?
For the Big Data Mining and Analytics metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Big Data Mining and Analytics?
The eISSN number is 2096-0654 and pISSN number is 2096-0654 for Big Data Mining and Analytics.
What is the focus of this journal?
The journal covers a wide range of topics inlcuding [object Object], [object Object], [object Object], [object Object], [object Object].
Why is it important to find the right journal for my research?
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career?
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only?
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.