Machine Learning and Knowledge Extraction is a peer-reviewed english-language open-access journal published by MDPI AG in Switzerland, operating under an open-access model since 2019. The journal covers Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware.
Authors are required to pay an article processing charge to publish in Machine Learning and Knowledge Extraction; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY, Publisher's own license license (see other journals using this license).
To date, Machine Learning and Knowledge Extraction has published 725 articles. Articles are minted with DOIs through the prefix 10.3390. All submissions undergo plagiarism screening before peer review.
Keywords
data ecosystems, data fusion, data mapping, data visualisation
At a glance
- Publisher
- MDPI AG
- Country
- Switzerland
- Primary language
- English
- License
- CC BY, Publisher's own license
- Peer review
- Anonymous peer review
- OA since
- 2019
- Review time
- 6 weeks
- DOI prefix
10.3390- Plagiarism check
- Yes
ISSN
- electronic
- 2504-4990
Frequently asked questions
Is Machine Learning and Knowledge Extraction peer-reviewed?
Does Machine Learning and Knowledge Extraction charge an article processing charge (APC)?
What subjects does Machine Learning and Knowledge Extraction publish?
What languages does Machine Learning and Knowledge Extraction accept?
What is the ISSN of Machine Learning and Knowledge Extraction?
2504-4990 (electronic).