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{{Infobox Journal
#REDIRECT [[List of MDPI academic journals#M]]
| title = Machine Learning and Knowledge Extraction
{{R with possibilities}}
| cover =
| former_name =
| abbreviation = Mach. Learn. Knowl. Extr.
| discipline = [[Machine learning]], [[Artificial intelligence]], [[Data science]]
| editor = Andreas Holzinger
| publisher = [[MDPI]]
| country = Switzerland
| history = 2019–present
| frequency = Quarterly
| openaccess = Yes
| license = [[Creative Commons Attribution License]]
| impact = 6.0
| impact-year = 2023
| ISSN =
| eISSN = 2504-4990
| CODEN =
| JSTOR =
| LCCN =
| OCLC =
| website = https://www.mdpi.com/journal/make
| link1 =
| link1-name =
| link2 =
| link2-name =
}}


'''''Machine Learning and Knowledge Extraction''''' (stylised as '''''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

==Abstracting and indexing==
The journal is abstracted and indexed in several databases, for example in:<ref name=MIAR>{{cite MIAR |title=Machine Learning and Knowledge Extraction |issn=2504-4990 |access-date=2025-06-18}}</ref>
{{columns-list|
*[[DOAJ]]<ref>{{cite web |title=Machine Learning and Knowledge Extraction |url=https://doaj.org/toc/2504-4990 |access-date=2025-06-18 |website=Directory of Open Access Journals}}</ref>
*[[Emerging Sources Citation Index]]<ref>{{cite web |title=Machine Learning and Knowledge Extraction included in ESCI |url=https://www.mdpi.com/about/announcements/2661 |publisher=[[Clarivate]] |access-date=2025-06-18}}</ref>
*[[Scopus]]<ref>{{cite web |title=Scopus preview – Machine Learning and Knowledge Extraction |url=https://www.scopus.com/sourceid/21101109601 |access-date=2025-06-18 |website=Scopus}}</ref>
}}

According to the ''[[Journal Citation Reports]]'', the journal has a 2024 [[impact factor]] of 6.0.<ref name="WoS">{{cite book |title=2024 Journal Citation Reports |title-link=Journal Citation Reports |publisher=[[Clarivate]] |year=2025 |edition=Science |series=[[Web of Science]] |chapter=Pharmaceuticals}}</ref>

==References==
{{Reflist|30em}}

==External links==
*{{Official website|https://www.mdpi.com/journal/make}}

[[Category:English-language journals]]
[[Category:Academic journals established in 2019]]
[[Category:MDPI academic journals]]
[[Category:MDPI academic journals]]
[[Category:Quarterly journals]]
[[Category:Creative Commons Attribution-licensed journals]]
[[Category:Machine learning journals]]

Revision as of 12:10, 18 June 2025

Machine Learning and Knowledge Extraction
DisciplineMachine learning, Artificial intelligence, Data science
LanguageEnglish
Edited byAndreas Holzinger
Publication details
History2019–present
Publisher
MDPI (Switzerland)
FrequencyQuarterly
Yes
LicenseCreative Commons Attribution License
6.0 (2023)
Standard abbreviations
ISO 4Mach. Learn. Knowl. Extr.
Indexing
ISSN2504-4990
Links

Machine Learning and Knowledge Extraction (stylised as 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

Abstracting and indexing

The journal is abstracted and indexed in several databases, for example in:[1]

According to the Journal Citation Reports, the journal has a 2024 impact factor of 6.0.[5]

References

  1. ^ "Machine Learning and Knowledge Extraction". MIAR: Information Matrix for the Analysis of Journals. University of Barcelona. Retrieved 2025-06-18.
  2. ^ "Machine Learning and Knowledge Extraction". Directory of Open Access Journals. Retrieved 2025-06-18.
  3. ^ "Machine Learning and Knowledge Extraction included in ESCI". Clarivate. Retrieved 2025-06-18.
  4. ^ "Scopus preview – Machine Learning and Knowledge Extraction". Scopus. Retrieved 2025-06-18.
  5. ^ "Pharmaceuticals". 2024 Journal Citation Reports. Web of Science (Science ed.). Clarivate. 2025.
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