Machine Learning and Knowledge Extraction
From Wikipedia, the free encyclopedia
| Discipline | Machine learning, artificial intelligence, data science |
|---|---|
| Language | English |
| Edited by | Andreas Holzinger |
| Publication details | |
| History | 2019–present |
| Publisher | MDPI (Switzerland) |
| Frequency | Quarterly |
| Yes | |
| License | Creative Commons Attribution License |
| 6.0 (2023) | |
| Standard abbreviations | |
| ISO 4 | Mach. Learn. Knowl. Extr. |
| Indexing | |
| ISSN | 2504-4990 |
| Links | |
Machine Learning and Knowledge Extraction (MAKE) is a peer-reviewed open-access scientific journal covering research on machine learning, knowledge extraction and related areas of data-driven artificial intelligence. It is published by MDPI and was launched in 2019 with Andreas Holzinger as founding Editor-in-Chief.
The journal publishes research articles, reviews, tutorials and short notes spanning topics such as data ecosystems, interactive and automated machine learning, explainable AI, privacy, graph learning and topological data analysis