Back
Conference paper Open Access

Business Intelligence - Implantation on Federal Institute of Triângulo Mineiro (IFTM) System 🔓

Damasceno, Ernani , Azevedo, Ana , Pinto, Agostinho
10th International Conference on Computer Supported Education (CSEDU 2018), 2018, pp. 528–535
https://doi.org/10.5220/0006818805280535
Published: 2018
View at Publisher (DOI)

Resume

This work is cataloged in the Scientific Portal. Officially published in 10th International Conference on Computer Supported Education (CSEDU 2018) (2018). Referenced as: "Damasceno, Ernani; Azevedo, Ana; Pinto, Agostinho".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.5220/0006818805280535

Keywords

Information system Analytics Academic registration control BI data mart

Bibliographic & Editorial Details

Venue / Journal / Book 10th International Conference on Computer Supported Education (CSEDU 2018)
Publisher SCITEPRESS - Science and Technology Publications
Pagination Pages 528 - 535
Publication Venue / Conference Funchal, Portugal

Official Identifiers

DOI: 10.5220/0006818805280535
Handle / URI: http://hdl.handle.net/10400.22/11648

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição
A
Ana Isabel Rojão Lourenço Azevedo CEOS.PP
Ciência ID: D913-646F-CE08
View Profile
E
Ernani Vinicius Damasceno Investigador
Ciência ID: 6811-6996-747B
View Profile
J
José Agostinho de Sousa Pinto Investigador
Ciência ID: E510-C11B-61BE
View Profile
Coautores da Obra

Autores discriminados na citação da publicação:

Damasceno, Ernani; Azevedo, Ana; Pinto, Agostinho

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

Other Related Publications

Conference paper • 2026

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

Conference paper • 2026

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

Conference paper • 2026

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

ISLA Scientific Portal • Metadata officially synchronized via Ciência Vitae / FCT