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Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and;
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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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methodologies in smart grid deployment and maintenance applications Includes coding for intelligent data analytics for each application
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This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning;
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Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the;
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High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive;
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High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive;
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, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence;
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toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;
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and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;
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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent;
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robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent;
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Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with;
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, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for;
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techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with;
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to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and;
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of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting;
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systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data;
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systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data;
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inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the;
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analysis and risk prediction * Machine learning, deep learning - Health data processing;
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; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities;
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analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;
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deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life;
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