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Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It;

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Future Data and Security Engineering

selected from 115 submissions. They have been organized in the following topical sections: Big Data Analytics and Cloud Data Management; Internet;

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Big Data Concepts, Theories, and Applications

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this;

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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Big Data and Differential Privacy

practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Smart Data

, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art;

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Handbook of Data Science Approaches for Biomedical Engineering

progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline;

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Smart Data

, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research;

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Proceedings of International Conference on Data Science and Applications

developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking;

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Innovative Applications of Big Data in the Railway Industry

Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration;

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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Machine Learning Technologies and Applications

field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial;

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Future Data and Security Engineering

selected from 88 submissions. They have been organized in the following topical sections: big data analytics and massive dataset mining; security;

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Future Data and Security Engineering

Big data analytics and applications Blockchains and emerging authentication techniques Data engineering tools in software development;

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Future Data and Security Engineering

: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and;

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Signal Processing and Networking for Big Data Applications

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents;

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Proceedings of International Conference on Big Data Machine Learning and their

This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications;

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Data Analytics in Biomedical Engineering and Healthcare

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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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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High Performance Computing for Big Data

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive;

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