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Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society

Título :
Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society
Autor :
Rodríguez Ibáñez, Margarita  
Soguero-Ruiz, Cristina  
Gimeno Blanes, Francisco Javier  
Rojo-Álvarez, José Luis  
Editor :
MDPI
Departamento:
Departamentos de la UMH::Ingeniería de Comunicaciones
Fecha de publicación:
2023-06
URI :
https://hdl.handle.net/11000/30562
Resumen :
Machine learning techniques, more commonly known today as artificial intelligence, are playing an increasingly important role in all aspects of our lives. Their applications extend to all areas of society where similar techniques can be accommodated to provide efficient and interesting solutions to a wide range of problems. In this Special Issue entitled Machine Learning for Society [1], we present some examples of the applications of this type of technique. From the valuation of unlisted companies to the characterization of clients, through the detection of financial crises or the prediction of the behavior of the exchange rate, this group of works presented here has in common the search for efficient solutions based on a set of historical data, and the application of artificial intelligence techniques. The techniques and datasets used, as well as the relevant findings developed in the different articles of this Special Issue, are summarized below.
Palabras clave/Materias:
machine learning
ARIMA
random series modelling
stock exchange
customer management
multiple correspondence analysis
domain description
hospitality
valuation
Área de conocimiento :
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/openAccess
DOI :
https://doi.org/10.3390/app13137371
Aparece en las colecciones:
Artículos Ingeniería Comunicaciones



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