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 | 视频video | | 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 |  | 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 | doi | https://doi.org/10.1007/978-3-319-60435-0 | isbn_softcover | 978-3-319-86864-6 | isbn_ebook | 978-3-319-60435-0Series ISSN 2197-6503 Series E-ISSN 2197-6511 | issn_series | 2197-6503 | copyright | Springer International Publishing AG 2018 |
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