Data mining tool for academic data exploitation: graphical data analysis and visualization

The vast amount of data collected by higher education institutions and the growing availability of analytic tools, makes it increasingly interesting to apply data mining in order to support educational or managerial goals. The SPEET (Student Profile for Enhancing Engineering Tutoring) project aims t...

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Bibliographic Details
Main Author: Prada, Miguel Angel (author)
Other Authors: Dominguez, Manuel (author), Morán, Antonio (author), Vilanova, Ramon (author), Vicario, José (author), Pereira, Maria João (author), Alves, Paulo (author), Podpora, Michal (author), Barbu, Marian (author), Torrebruno, Aldo (author), Spagnolini, Umberto (author), Paganoni, Anna (author)
Format: report
Language:eng
Published: 2019
Subjects:
Academic analytics
Learning analytics
Big data edication
Educational data minig
Student profile
Dropout prevention
Online Access:http://hdl.handle.net/10198/18941
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/18941

Internet

http://hdl.handle.net/10198/18941

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