Algoritmi | User | João Rui Magalhães Velho da Cunha Galvão
João Rui Magalhães Velho da Cunha Galvão
João Rui Magalhães Velho da Cunha Galvão
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Invited Teaching Assistant at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
joao.galvao@dsi.uminho.ptOrcid
0000-0003-4263-8726Researcher ID
N-8673-2015FCT Public Key
J621158zhnbm
Ciência ID
6,12E+15Google Scholar
Publications (7)
Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
2022 | book-chapter
Automating Data Integration in Adaptive and Data-Intensive Information Systems
2020 | book-chapter
Towards Designing Conceptual Data Models for Big Data Warehouses: The Genomics Case
2020 | book-chapter
Enhancing Big Data Warehousing for Efficient, Integrated and Advanced Analytics
2019 | book-chapter
A big data analytics architecture for industry 4.0
Advances in Intelligent Systems and Computing
2017 | book
Dealing with repeated objects in SNNagg
IAENG International Journal of Computer Science
2016 | journal-article
Understanding the SNN Input Parameters and How They Affect the Clustering Results
International Journal of Data Warehousing and Mining
2015 | journal-article
Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
2022 | book-chapter
Automating Data Integration in Adaptive and Data-Intensive Information Systems
2020 | book-chapter
Towards Designing Conceptual Data Models for Big Data Warehouses: The Genomics Case
2020 | book-chapter
Enhancing Big Data Warehousing for Efficient, Integrated and Advanced Analytics
2019 | book-chapter
A big data analytics architecture for industry 4.0
Advances in Intelligent Systems and Computing
2017 | book
Dealing with repeated objects in SNNagg
IAENG International Journal of Computer Science
2016 | journal-article
Understanding the SNN Input Parameters and How They Affect the Clustering Results
International Journal of Data Warehousing and Mining
2015 | journal-article
