Building Blocks for IoT Analytics Internet-of-Things Analytics
Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizati...
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| Formato: | Libro |
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River Publishers
2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1800554&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 1800554 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Building Blocks for IoT Analytics Internet-of-Things Analytics aug: au: John Soldatos sertl: River Publishers Series in Signal, Image and Speech Processing Ser isbn: 9788793519039 9788793519046 9781000793659 9781000796810 9781003337423 imageinfo: pubinfo: dt: @attributes: year: 2016 month: 01 day: 01 dtAvail: @attributes: year: 2019 month: 03 day: 05 pub: River Publishers pubContract: CRC Press (Unlimited) place: Aalborg price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 004.678 item: 004 .678 lc: @attributes: class: QA76.9.B45.B855 2017 item: QA 76 .9 .B45 .B855 2017 artinfo: ui: 1800554 1076652697 formats: fmt: – @attributes: type: EB doid: NL$1800554$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$1800554$EPUB caption: EPUB download: Y tig: atl: Building Blocks for IoT Analytics Internet-of-Things Analytics ptl: Building Blocks for IoT Analytics Internet-of-Things Analytics aug: au: John Soldatos su: Big data--Congresses sug: subj: SCIENCE / Energy TECHNOLOGY & ENGINEERING / Electrical Big data--Congresses ab: Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analyticsThis book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI). pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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