Mohamed Adel Serhani - Böcker

Empowering IoT with Big Data Analytics provides comprehensive coverage of major topics, tools, and techniques related to empowering IoT with big data technologies and big data analytics solutions, thus allowing for better processing, analysis, protection, distribution, and visualization of data for the benefit of IoT applications and second, a better deployment of IoT applications on the ground. This book covers big data in the IoT era, its application domains, current state-of-the-art in big data and IoT technologies, standards, platforms, and solutions. This book provides a holistic view of the big data value-chain for IoT, including storage, processing, protection, distribution, analytics, and visualization.Big data is a multi-disciplinary topic involving handling intensive, continuous, and heterogeneous data retrieved from different sources including sensors, social media, and embedded systems. The emergence of Internet of Things (IoT) and its application to many domains has led to the generation of huge amounts of both structured and unstructured data often referred to as big data.

Introduces fundamental concepts of big data analytics and their applications to IoTHelps readers learn to leverage big data storage, processing and analysis tools, and techniques to promote IoT applications for better decision-makingExplores federated learning in big data to ensure data privacy and handle data heterogeneity

This book constitutes the proceedings of the International Conference on Web of Services, ICWS  2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020.The 14 full papers presented in this volume were carefully reviewed and selected from 52 submissions.The conference proceeding  ICWS 2020 presents the latest fundamental advances in the state of the art and practice of Web-based services, identify emerging research topics, and define the future of Web-based services. All topics regarding Web-centric services, enabling technologies and applications align with the theme of ICWS.