Open Innovation Tools and IoT Innovation Hub
Description
The project aims to develop systems and tools for IoT Innovation Hub. Advanced techniques of pre-processing big data and data analysis are pursued in the project. In particular, critical feature selection and critical sampling technics to cope with dimensionality of data are object of study.
Researchers
Funded by
USM/USA
Total budget
2 500 000,00 €
Local budget
20 000,00 €
Keywords
Big Data Analytics, Pattern Recognition
Start Date
2016-04-01
End Date
2019-04-01
Conference Articles
2018
(1 publication) - Ribeiro, B. and Silva, J.M. and Sung, A.H. , "Critical Feature Selection and Critical Sampling for Data Mining ", in 3rd International Conference on Computational Intelligence, Cyber Security & Computational Models, Springer Nature Singapore, G. Ganapathi (eds.): ICC3, CCIS 844, pp. 13-24, 2018
2017
(3 publications) - Silva, J.M. and Ribeiro, B. and Sung, A.H. , "Finding the Critical Sampling of Big Data Sets, ACM International Conference on Computing Frontiers 2017 May 15 - 17, 2017, Siena, Italy ", in ACM International Conference on Computing Frontiers 2017 May 15 - 17, 2017, Siena, Italy , 2017
- Silva, J.M. and Ribeiro, B. and Sung, A.H. , "Critical Sample Size for Mining Data", in EPIA 2017 - BAAI (Business Applications of Artificial Intelligence) Track, 2017
- Silva, J.M. and Ribeiro, B. and Sung, A.H. and Teixeira, C. , "Importance of the critical sampling size on data analytics", in 23rd Portuguese Conference on Pattern Recognition , 2017