Link prediction and feature relevance in knowledge networks: A machine learning approach

We propose a supervised machine learning approach to predict partnership formation between universities. We focus on successful joint R&D projects funded by the Horizon 2020 programme in three research domains: Social Sciences and Humanities, Physical and Engineering Sciences, and Life Sciences....

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Detalles Bibliográficos
Autores principales: Zinilli, Antonio, Cerulli, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688692/
https://www.ncbi.nlm.nih.gov/pubmed/38032965
http://dx.doi.org/10.1371/journal.pone.0290018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688692/
https://www.ncbi.nlm.nih.gov/pubmed/38032965
http://dx.doi.org/10.1371/journal.pone.0290018

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