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商品描述
PROVIDES COMPREHENSIVE COVERAGE OF THE CURRENT STATE OF IoT, FOCUSING ON DATA PROCESSING INFRASTRUCTURE AND TECHNIQUES
Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges.
The Internet of Things: From Data to Insight
- Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making
- Explains how IoT technology is applied in practice and the benefits being delivered
- Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT
- Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas
- Analyzes and presents important emerging technologies for the IoT arena
- Shows how different objects and devices can be connected to decision making processes at various levels of abstraction
The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.
商品描述(中文翻譯)
《從數據到洞察力：物聯網》提供了對當前物聯網狀態的全面覆蓋，重點關注數據處理基礎設施和技術。本書由該領域的專家撰寫，探討了物聯網技術堆棧，從連接性到數據平台再到最終用戶案例研究，並考慮了商業需求與數據安全和隱私之間的權衡。特別強調了數據處理技術，這些技術能夠從數據中提取可行的洞察力，以支持更好的決策。這些技術包括流處理、深度學習、知識圖譜等人工智能技術，以及數據互操作性、隱私、安全和信任的關鍵方面。書中還涵蓋了創建和支持物聯網生態系統、邊緣計算、傳感器數據集的數據挖掘和眾包等其他方面。書中還介紹了一些應用領域的使用案例，如智能能源、交通、智能工廠等。書的最後一章討論了在企業中部署物聯網技術時的關鍵考慮因素，並簡要回顧了未來的研究方向和挑戰。
《從數據到洞察力：物聯網》將吸引廣泛的讀者群，包括尋求對物聯網有全面理解的IT和網絡專家、CIO和CIO團隊、物聯網和相關領域的研究人員、大學最後一年的本科生、研究生、博士生以及IT和科學媒體專業人士。
作者簡介
EDITED BY
JOHN DAVIES, PHD, is Chief Researcher in BT's Research & Innovation Department, UK, where he leads a team focused on Internet of Things technologies. He is a Fellow of the British Computer Society and a Chartered Engineer as well as a Visiting Professor at the Open University and has published over 100 scientific articles.
CAROLINA FORTUNA, PHD, is a Research Fellow at the Jo ef Stefan Institute, Slovenia. She received her PhD in Computer Science in 2013, was a postdoctoral research associate at Ghent University, 2014-2015 and a Visitor at Stanford University in 2017. She has authored over 60 peer reviewed papers, technically led EU-funded research projects and is a consultant to industry.
作者簡介(中文翻譯)
編者
約翰·戴維斯博士是英國BT研究與創新部門的首席研究員，領導一個專注於物聯網技術的團隊。他是英國計算機學會的會士和特許工程師，也是開放大學的客座教授，發表了100多篇科學論文。
卡羅琳娜·福爾圖納博士是斯洛文尼亞Jo ef Stefan研究所的研究員。她於2013年獲得計算機科學博士學位，並在2014年至2015年間擔任根特大學的博士後研究員，2017年在斯坦福大學擔任訪問學者。她撰寫了60多篇同行評審的論文，技術領導歐盟資助的研究項目，並擔任行業顧問。
