Higher Education Access Prediction using DataMining

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

reis, lp (Autor) REIT; Vieira, J (Autor) Outra; Lemos, P (Autor) Outra; Novais, R (Autor) Outra; Faria, BM (Autor) Outra

Ata de Conferência Internacional

Título: 2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

12th Iberian Conference on Information Systems and Technologies (CISTI)

Lisbon, PORTUGAL, JUN 21-24, 2017

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-RQZ

DOI: 10.23919/cisti.2017.7976068

Abstract (EN): The national panel for higher education is a big social impact event, one which mobilizes thousands of candidates. However, the heterogeneity of the Portuguese university and polytechnic infrastructure and the sheer dimension of the reality in study makes an eventual interpretation of the data obtained from that panel, and the official data only present generic and global information. This work will bring to light information with added value to those responsible on these institutions, in their decision taking processes by extracting data from the education minister site and processing it using data mining techniques.

Idioma: Espanhol

Tipo (Avaliação Docente): Científica

Nº de páginas: 8