X
Data Analysis and Knowledge Discovery (DAKD) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Chinese Academy of Sciences. The Print-ISSN of Data Analysis and Knowledge Discovery is 20963467
Data Analysis and Knowledge Discovery is published by Chinese Academy of Sciences, based in Brazil, publishing since 2013. It covers research in Computer Science, Social Sciences.
Topics covered include law, society, sociology of law, legal theory.
The journal is indexed in Scopus, DOAJ; it uses a anonymous peer review process.
For full aims and scope, see the journal's official page.
| Journal title | Data Analysis and Knowledge Discovery (DAKD) |
| Print ISSN | 20963467 |
| Publisher Name | Chinese Academy of Sciences |
| Subject Category | Computer Science |
| Access type | 🟢 Open Access |
| Status | 🟢 Active |
In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.
Below are the metrics and rankings for the journal Data Analysis and Knowledge Discovery
Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars
If you would like to submit a manuscript or visit the journal's website, please click on the link below.
| Journal Submission | 🔗 Journal Website |
Add the app to your device for one-tap access.
