Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/30562

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

Title:
Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society
Authors:
Rodríguez Ibáñez, Margarita  
Soguero-Ruiz, Cristina  
Gimeno Blanes, Francisco Javier  
Rojo-Álvarez, José Luis  
Editor:
MDPI
Department:
Departamentos de la UMH::Ingeniería de Comunicaciones
Issue Date:
2023-06
URI:
https://hdl.handle.net/11000/30562
Abstract:
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.
Keywords/Subjects:
machine learning
ARIMA
random series modelling
stock exchange
customer management
multiple correspondence analysis
domain description
hospitality
valuation
Knowledge area:
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Type of document:
application/pdf
Access rights:
info:eu-repo/semantics/openAccess
DOI:
https://doi.org/10.3390/app13137371
Appears in Collections:
Artículos Ingeniería Comunicaciones



Creative Commons ???jsp.display-item.text9???