Minisymposia 5



"Mathematics and Data Analytics"

Statistical and artificial intelligence data analysis methods are fundamental tools for bussines intelligence in many industrial sectors, like energy, finance and environment, among many others. The Industry 4.0 paradigm needs modern mathematical and statistical tools for smart data analysis. Functional data analysis, censored data analysis, high dimensional data analysis, complex data analysis and big data statistical analysis are some of the relevant methods for data analysis in complex industrial environments

Coordinator: Ricardo Cao Abad. Instituto Tecnológico de Matemática Industrial (ITMATI) and Universidade de A Coruña (UDC).

Chairman: Wenceslao Rodríguez Manteiga, Universidade de Santiago de Compostela (USC), and Instituo Tecnológico de Matemática Industrial (ITMATI) 

-"Impact of intelligent telemanagement based on the OTEA platform for installations".

  • Gonzalo Ferro Costas, Nerea Vilela Barreira, Ecomanagement Technology (EcoMT)

-"Data Science for big bank data".

  • Jorge Martín Arevalillo, Statitstics, Operational Research and Numerical Calculation, Universidad Nacional de Educación a Distancia (U.N.E.D)

-"Models and Big Data Analytics in the Modern Industry".

  • Abelardo Monsalve Cobis, Instituto Tecnológico de Matemática Industrial e ITMATI