Higher Education Access Prediction using DataMining

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

reis, lp (Author) REIT; Vieira, J (Author) Other; Lemos, P (Author) Other; Novais, R (Author) Other; Faria, BM (Author) Other

Conference proceedings International

Title: 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

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Other information

Authenticus ID: 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.

Language: Spanish

Type (Professor's evaluation): Scientific

No. of pages: 8