Search for dissertations about: "big data analytics in smart cities"

Found 3 swedish dissertations containing the words big data analytics in smart cities.

  2. 1. Smart Cities and Big Data Analytics : A Data-Driven Decision-Making Perspective

    Author : Ahmed M. Shahat Osman; Ahmed Elragal; Anna Ståhlbröst; Eli Hustad; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; smart cities; big data analytics; data-driven decision-making; Informationssystem; Information Systems;

    Abstract : The phenomenon of digitalization has led to the emergence of a new term—big data. Big data refers to the vast volumes of digital data characterized by its volume, velocity, variety, veracity, and value. READ MORE

  4. 2. Smart Urban Metabolism : Toward a New Understanding of Causalities in Cities

    Author : Hossein Shahrokni; Maria Malmström; Nils Brandt; Olga Kordas; David Lazarevic; Anthony Townsend; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; industrial ecology; urban metabolism; smart cities; big data; data science; Industriell ekologi; Industrial Ecology;

    Abstract : For half a century, urban metabolism has been used to provide insights to support transitions to sustainable urban development (SUD). Internet and Communication Technology (ICT) has recently been recognized as a potential technology enabler to advance this transition. READ MORE

  5. 3. Data-Centric Network of Things : A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of Services

    Author : Bin Xiao; Rahim Rahmani; Theo Kanter; Mika Ylianttila; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Big Data; Artificial Intelligence; Data Supply; Distributed System; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Internet of things (IoT) generates massive amount of heterogeneous data, which should be efficiently utilized to support services in different domains. Specifically, data need to be supplied to services by understanding the needs of services and by understanding the environment changes, so that necessary data can be provided efficiently but without overfeeding. READ MORE