Machine Learning and Knowledge Extraction - Journal - Bridge of Knowledge

Machine Learning and Knowledge Extraction

ISSN:

eISSN:

2504-4990

Disciplines
(Field of Science):

automation, electronics, electrical engineering and space technologies (Engineering and Technology)
information and communication technology (Engineering and Technology)
computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year	Points	List
Year 2024	20	Ministry scored journals list 2024

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Ministry points - previous years
Year	Points	List
2024	20	Ministry scored journals list 2024
2023	20	Ministry Scored Journals List
2022	20	Ministry Scored Journals List 2019-2022
2021	20	Ministry Scored Journals List 2019-2022
2020	20	Ministry Scored Journals List 2019-2022
2019	20	Ministry Scored Journals List 2019-2022

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year	Points
Year 2023	6.3

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Points CiteScore - previous years
Year	Points
2023	6.3
2022	8.5

Impact Factor:

Log in to see the Impact Factor.

Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/35306

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