02643nam 2200529 450 991063299920332120180815080937.01-00-333742-21-003-33742-21-000-79365-687-93519-04-4(CKB)3710000001007632(MiAaPQ)EBC4771358(MiAaPQ)EBC30251850(Au-PeEL)EBL30251850(oapen)https://directory.doabooks.org/handle/20.500.12854/94328(EXLCZ)99371000000100763220170110h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierBuilding blocks of lot analytics internet-of-things analytics /editor, John Soldatos1st ed.Taylor & Francis2017Alsbjergvej, Gistrup, Denmark ;Delft, The Netherlands :River Publishers,2017.©20171 online resource (294 pages) color illustrations, tablesRiver Publishers Series in Signal, Image and Speech Processing87-93519-03-6 Includes bibliographical references at the end of each chapters and index."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."--Provided by Publisher.Big dataCongressesEnergyElectrical engineeringBig data001Soldatos Johnedt1280648Soldatos JohnMiAaPQMiAaPQMiAaPQBOOK9910632999203321Building blocks of lot analytics internet-of-things analytics3380736UNINA