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Graph-related Optimization and Decision Support Systems

accomplish the feasible set framed by the system constraints. The aim of this book is expose optimization problems that can be expressed as graphs;

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Intelligent Decision Support Systems

Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Decision Making and Knowledge Decision Support Systems

methods for optimization, data analysis and decision making. It presents applications in Economics, Finance, Management and Engineering. The book;

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Models, Methods and Decision Support for Management

theoretical research and applications in optimization, operations research as well as decision support and management systems.;

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Decentralized Control of Complex Systems

constraints.Starting with a graph-theoretic framework for structural modeling of complex systems, the text presents results related to robust;

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Advanced Data Analytics for Power Systems

applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical;

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Optimization and Control for Systems in the Big-Data Era

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization;

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Diversification Methods for Infrastructure Systems Optimization

optimization. Additionally, the book tests the diversification metrics and the related methodologies in a case study of hundreds of millions of dollars;

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Optimization Methods For Logical Inference

to optimization methods--propositional logic, first order predicate logic, probabilistic and related logics, logics that combine evidence;

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Optimization Problems in Graph Theory

This book presents open optimization problems in graph theory and networks. Each chapter reflects developments in theory and applications;

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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Exploring Intelligent Decision Support Systems

This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations;

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Multiobjective Optimization

disciplines of behavioural decision theory, information and decision support systems, and computational analysis.;

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Graphs and Combinatorial Optimization: from Theory to Applications

This book highlights new and original contributions on Graph Theory and Combinatorial Optimization both from the theoretical point of view;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such;

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Decision Making and Optimization

The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory;

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Technological Innovations in Knowledge Management and Decision Support

effectiveness. It also provides cutting-edge research techniques in related optimization methods and other automated techniques in real-world processes;

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Business Intelligence

services and Web semantics; optimization and decision support; signal, image and vision computing; networking, cloud computing and networking;

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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

understanding and semantic computing; knowledge graph applications: semantic search, question answering, dialogue, decision support, and recommendation;

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Decision Support and Business Intelligence Systems: Pearson International Edition

Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems. Decision;

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Intelligent Information and Database Systems

Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Machine Learning and Data Mining; Decision;

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Computational Collective Intelligence

systems; text processing and information retrieval; data mining methods and applications; computer vision techniques; decision support and control;

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