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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)
全面涵蓋物聯網的現狀，專注於數據處理基礎設施和技術
本書由該領域的專家撰寫，探討物聯網技術堆疊，從連接性到數據平台，再到最終用戶案例研究，並考慮商業需求與數據安全和隱私之間的權衡。特別強調數據處理技術，這些技術能夠從數據中提取可行的見解，以促進更好的決策。這些技術包括人工智慧技術，如流處理、深度學習和知識圖譜，以及數據互操作性和隱私、安全與信任的關鍵方面。其他涵蓋的方面包括：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；以及群眾外包等。本書還展示了幾個部分，涵蓋智能能源、交通、智能工廠等多個應用領域的使用案例。本書最後一章探討在企業中部署物聯網技術時的關鍵考量，隨後簡要回顧未來的研究方向和挑戰。
物聯網：從數據到洞察
- 提供物聯網技術堆疊的全面概述，專注於從數據建模和處理到決策制定的數據驅動方面
- 解釋物聯網技術在實踐中的應用及其帶來的好處
- 使新手讀者熟悉與物聯網相關的概念、組件、技術和垂直領域
- 為物聯網專家提供更深入的數據和決策制定方面的見解，以及新穎的技術和應用領域
- 分析並展示物聯網領域的重要新興技術
- 展示不同物體和設備如何在各種抽象層次上連接到決策過程
物聯網：從數據到洞察 將吸引廣泛的讀者，包括尋求全面了解物聯網的IT和網絡專家、CIO及其團隊、物聯網及相關領域的研究人員、最後一年本科生、研究生、碩士生以及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)
編輯者
約翰·戴維斯（JOHN DAVIES, PHD）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院士和特許工程師，同時也是開放大學的客座教授，已發表超過100篇科學文章。
卡羅琳娜·福圖納（CAROLINA FORTUNA, PHD）是斯洛維尼亞約瑟夫·斯特凡研究所的研究員。她於2013年獲得計算機科學博士學位，曾於2014至2015年擔任根特大學的博士後研究助理，並於2017年在斯坦福大學擔任訪問學者。她已發表超過60篇經過同行評審的論文，技術上主導過歐盟資助的研究項目，並擔任業界顧問。
