Rafael (Hrsg.) Valencia-García
Exploring Intelligent Decision Support Systems
Current State and New Trends
Ebook (PDF Format)
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 integrate…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Paredes-Valverde, Mario Andrés (Hrsg.) / Salas-Zárate, María del Pilar (Hrsg.) / Alor-Hernández, Giner (Hrsg.)
- ISBN: 978-3-319-74002-7
- EAN: 9783319740027
- Produktnummer: 33305135
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 238 S.
- Plattform: PDF
- Masse: 7'270 KB
- Abbildungen: 14 schwarz-weiße und 62 farbige Abbildungen, 100 farbige Tabellen, Bibliographie
- Reihenbandnummer: 764
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