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The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are;
Vergelijkbare producten zoals Rule Based Systems for Big Data
The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are;
Vergelijkbare producten zoals Rule Based Systems for Big Data
in IoT, privacy preserving in big data, security architecture based on cyber kill chain, privacy-aware digital forensics, trustworthy computing;
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an effective big data organization. This volume will assist readers in fitting big data analysis into their service-based organizations;
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of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines;
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submissions. Extensions and adaptations of classical rule-based languages have found their application in a range of areas, such as ontologies for the;
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See a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The;
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Ocean Energy Modeling and Simulation with Big Data: Computational Intelligence for System Optimization and Grid Integration offers the;
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power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not;
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ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact;
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of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and;
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of new agent-based tools to handle those problems and Big Data in general. This volume can serve as a reference for students, researchers and;
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, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block;
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for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building;
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understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring;
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architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as;
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architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU;
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This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;
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This book provides readers the big picture and a comprehensive survey of the domain of big data processing systems. For the past decade;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data;
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architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and;
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architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and;
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BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex;
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ambidexterity. With a focus on the opportunities for businesses rather than the burden that big data can represent, the authors highlight the impact;
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Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big;
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and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data;
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