Decision Support Systems (eBook, ePUB)
Concepts and Applications
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"Decision Support Systems: Concepts and Applications" "Decision Support Systems: Concepts and Applications" offers a comprehensive, in-depth exploration of the foundations, architectures, and evolving frontiers of decision support systems (DSS). The book begins by charting the theoretical landscape, tracing the evolution of DSS from early management information systems to sophisticated, AI-driven platforms. It rigorously examines the cognitive and organizational frameworks underpinning effective decision-making, ethical imperatives, and the vital role of transparency and bias mitigation in mod...
"Decision Support Systems: Concepts and Applications"
"Decision Support Systems: Concepts and Applications" offers a comprehensive, in-depth exploration of the foundations, architectures, and evolving frontiers of decision support systems (DSS). The book begins by charting the theoretical landscape, tracing the evolution of DSS from early management information systems to sophisticated, AI-driven platforms. It rigorously examines the cognitive and organizational frameworks underpinning effective decision-making, ethical imperatives, and the vital role of transparency and bias mitigation in modern systems.
Blending conceptual depth with practical engineering, this volume details architectural models-ranging from monolithic to cloud-based and distributed systems-alongside best practices for data management, integration, and advanced analytics. Dedicated chapters illuminate topics such as machine learning in DSS, model explainability, and user interface engineering, providing insights into developing highly interactive, adaptive, and secure user experiences. The coverage extends to the operational lifecycle of DSS, including DevOps strategies, cybersecurity, reliability, and disaster recovery protocols essential for mission-critical deployments.
Looking ahead, "Decision Support Systems: Concepts and Applications" addresses the accelerating impact of emerging technologies, including edge computing, federated learning, and human-in-the-loop paradigms. Through advanced case studies and analyses of regulatory, ethical, and governance challenges, the book equips practitioners and researchers to navigate the complex landscape of contemporary and future DSS. Comprehensive in scope yet rich in detail, this book is an indispensable resource for anyone involved in the development, deployment, or evaluation of intelligent decision support solutions.
"Decision Support Systems: Concepts and Applications" offers a comprehensive, in-depth exploration of the foundations, architectures, and evolving frontiers of decision support systems (DSS). The book begins by charting the theoretical landscape, tracing the evolution of DSS from early management information systems to sophisticated, AI-driven platforms. It rigorously examines the cognitive and organizational frameworks underpinning effective decision-making, ethical imperatives, and the vital role of transparency and bias mitigation in modern systems.
Blending conceptual depth with practical engineering, this volume details architectural models-ranging from monolithic to cloud-based and distributed systems-alongside best practices for data management, integration, and advanced analytics. Dedicated chapters illuminate topics such as machine learning in DSS, model explainability, and user interface engineering, providing insights into developing highly interactive, adaptive, and secure user experiences. The coverage extends to the operational lifecycle of DSS, including DevOps strategies, cybersecurity, reliability, and disaster recovery protocols essential for mission-critical deployments.
Looking ahead, "Decision Support Systems: Concepts and Applications" addresses the accelerating impact of emerging technologies, including edge computing, federated learning, and human-in-the-loop paradigms. Through advanced case studies and analyses of regulatory, ethical, and governance challenges, the book equips practitioners and researchers to navigate the complex landscape of contemporary and future DSS. Comprehensive in scope yet rich in detail, this book is an indispensable resource for anyone involved in the development, deployment, or evaluation of intelligent decision support solutions.
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