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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was ¿Big Data Analytics for Decision-Making¿ and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS).The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was 'Big Data Analytics for Decision-Making' and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS).The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. In today's data-driven world, decision support systems (DSS) have become a critical component of business operations. This book provides a comprehensive guide to DSS powered by big data and AI, examining the theoretical foundations and practical applications of this cutting-edge technology. By analyzing the intersection of big data, AI, and DSS, it provides a nuanced understanding of the ways in which big data and AI can be leveraged to drive business success. From the development of AI-powered DSS platforms to the implementation of machine learning models for predictive analytics, this book showcases the potential of big data and AI to transform the future of business operations. By offering a practical framework for building DSS powered by big data and AI, this book equips readers with the knowledge and skills needed to drive innovation and growth in this critical field. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Clinical Decision Support Systems and Big Data is a comprehensive exploration of the role of big data in clinical decision-making. This book examines the ways in which big data can be used to inform clinical decision-making, from the analysis of electronic health records to the use of machine learning algorithms. By highlighting the potential of big data to improve patient outcomes, Clinical Decision Support Systems and Big Data offers a critical perspective on the intersection of big data and clinical decision-making. This book provides a detailed analysis of the ways in which big data can be used to enhance clinical decision-making and improve patient care. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. 'Big Data & AI-powered Decision Support Systems' explores the integration of large-scale data analytics and artificial intelligence to enhance decision-making processes. The book examines the architecture of intelligent systems, data processing techniques, and machine learning models that support complex problem-solving. It emphasizes the transformative potential of combining big data with AI to generate predictive insights and automate strategic planning, thereby elevating organizational responsiveness and agility. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the First International Conference on Decision Support Systems Technology, ICDSST 2015, held in Belgrade, Serbia, in May 2015. The theme of the event was 'Big Data Analytics for Decision-Making' and it was organized by the EURO (Association of European Operational Research Societies) working group of Decision Support Systems (EWG-DSS).The eight papers presented in this book were selected out of 26 submissions after being carefully reviewed by at least three internationally known experts from the ICDSST 2015 Program Committee and external invited reviewers. The selected papers are representative of current and relevant research activities in the area of decision support systems, such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluations and analysis through social networks, and decision support system applications in real-world environments. The volume is completed by an additional invited paper on big data decision-making use cases. 128 pp. Englisch.