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Giner Alor-Hernández (ed.); José Luis Sánchez-Cervantes (ed.); Alejandro Rodríguez-González (ed.); Rafael (e Valencia-García Springer (2019) Kovakantinen kirja
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Rafael Valencia-García (ed.); Gema Alcaraz-Mármol (ed.); Javier Del Cioppo-Morstadt (ed.); Néstor Vera-Lucio (ed.); Bucaram- Springer (2018) Pehmeäkantinen kirja
Rafael Valencia-García; Gema Alcaraz-Mármol; Javier del Cioppo-Morstadt; Néstor Vera-Lucio; Martha Bucaram-Leverone Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
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Rafael Valencia-García (ed.); Gema Alcaraz-Mármol (ed.); Javier Del Cioppo-Morstadt (ed.); Néstor Vera-Lucio (ed.); Bucaram- Springer (2019) Pehmeäkantinen kirja
Rafael Valencia-García (ed.); Gema Alcaraz-Marmol (ed.); Javier Del Cioppo-Morstadt (ed.); Néstor Vera-Lucio (ed.); Bucaram- Springer (2020) Pehmeäkantinen kirja
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Ioana Ciuciu; Hervé Panetto; Christophe Debruyne; Alexis Aubry; Peter Bollen; Rafael Valencia-Garcia; Alok Mishra; Fensel Springer International Publishing AG (2015) Pehmeäkantinen kirja
This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control. Decision support systems employ artificial intelligence methods to heuristically address problems that are cannot be solved using formal techniques. In this context, technologies such as the Semantic Web, linked data, big data, and machine learning are being applied to provide integrated support for individuals and organizations to make more rational decisions.
The book is organized into two parts. The first part covers decision support systems for industry, while the second part presents case studies related to clinical emergency management and pollution control.
