Automatic feature selection for supervised learning in link prediction applications: a comparative study
Crossref DOI link: https://doi.org/10.1007/s10115-017-1121-6
Published Online: 2017-10-25
Published Print: 2018-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pecli, Antonio
Cavalcanti, Maria Claudia
Goldschmidt, Ronaldo
Funding for this research was provided by:
CNPq (307647/2012-9)
CAPES (Student Scholarship)
License valid from 2017-10-25