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Titlebook: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence; Nilanjan Dey,Aboul Ella Hassanien,Suresh Chandra S Book 201

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书目名称Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
编辑Nilanjan Dey,Aboul Ella Hassanien,Suresh Chandra S
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概述Presents the state-of-the-art in research on big data and Internet of Things (IoT) and related areas.Presents original research on topics including but not limited to Internet of Things (IoT) technolo
丛书名称Studies in Big Data
图书封面Titlebook: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence;  Nilanjan Dey,Aboul Ella Hassanien,Suresh Chandra S Book 201
描述.This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. ..Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. ..Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including
出版日期Book 2018
关键词Big Data; Data Science; IoT; Internet of Things; Big Data for Multi-discipline IoT Services
版次1
doihttps://doi.org/10.1007/978-3-319-60435-0
isbn_softcover978-3-319-86864-6
isbn_ebook978-3-319-60435-0Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightSpringer International Publishing AG 2018
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