Business Intelligence Platform for Covid-19 Monitoring: A Case Study

AuthID
 P-00Z-4QW
5
Author(s)
Duarte, R
·
Lopes, J
·
Guimarães, T
·
Ferreira, S
·
2
Editor(s)
Machado,JM;Peixoto,H
Document Type
Proceedings Paper
Year published
2023
Published
in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-8211
Volume: 485 LNICST, Pages: 41-50 (9)
Conference
3Rd International Conference on Ai-Assisted Solutions for Covid-19 and Biometrical Applications in Smart Cities, Aiscovid-19 2022, Date: 16 November 2022 through 18 November 2022, Location: Braga
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Publication Identifiers
SCOPUS: 2-s2.0-85172739288
Source Identifiers
ISSN: 1867-8211
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