[1]
Aluko, R.O., Adenuga, O.A., Kukoyi, P.O., Soyingbe, A.A. and Oyedeji, J.O. 2016. Predicting the academic success of architecture students by pre-enrolment requirement: using machine-learning techniques. Construction Economics and Building. 16, 4 (Dec. 2016), 86-98. DOI:https://doi.org/10.5130/AJCEB.v16i4.5184.