Big Data Mining and Analytics
Last updated ISSN 2096-0654
Big Data Mining and Analytics is published by Tsinghua University Press in computer science. It is open access. Its article processing charge is not published.
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What it publishes
Recent work in Big Data Mining and Analytics concentrates on these topics, taken from its published record rather than from its own description:
- Anomaly Detection Techniques and Applications
- Topic Modeling
- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Recommender Systems and Techniques
- Machine Learning in Healthcare
- Computational Drug Discovery Methods
- Artificial Intelligence in Healthcare
- IoT and Edge/Fog Computing
Key facts
| Publisher | Tsinghua University Press |
|---|---|
| ISSN | 2096-0654, 2097-406X |
| Subject area | Computer Science |
| Access | Open access |
| Article processing charge | Not published |
| Indexed in | Scopus · DOAJ |
| Articles published | 422 |
| Publishing since | 2014 |
| Journal website | ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=825 |
Facts come from OpenAlex, DOAJ and Wikidata and may lag the journal’s own pages. Check the publisher’s site before submitting. Indexing shown here is what is recorded, not a complete picture — about a third of journals have no indexing recorded anywhere we can read, so “not recorded” does not mean a journal is absent from Scopus or Web of Science.
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