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Building Smart City Based on the Big Data, Computer Analytics, Public Demand, and Governance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31150%2F22%3A00058004" target="_blank" >RIV/61384399:31150/22:00058004 - isvavai.cz</a>

  • Result on the web

    <a href="https://drive.google.com/file/d/1KlPzPathh-tisStS8R8E4t_eVBXrRUy3/view" target="_blank" >https://drive.google.com/file/d/1KlPzPathh-tisStS8R8E4t_eVBXrRUy3/view</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Building Smart City Based on the Big Data, Computer Analytics, Public Demand, and Governance

  • Original language description

    Main topics of the document: A.I.; classification of smart cities; cluster analysis; components of smart city; development strategy of smart cities; global demand in the parts of the smart cities; MLT clustering; smart city

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the IV Ibero-American Conference on Smart Cities (ICSC-CITIES 2021)

  • ISBN

    978-607-99960-0-0

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    1140-1152

  • Publisher name

    CITIES

  • Place of publication

    Cancun

  • Event location

    Cancun

  • Event date

    Nov 29, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article