Search for dissertations about: "big data analytics"

Showing result 6 - 10 of 33 swedish dissertations containing the words big data analytics.

  2. 6. Advancing urban analytics for energy transitions : Data-driven strategic planning for citywide building retrofitting

    Author : Oleksii Pasichnyi; Olga Kordas; Jörgen Wallin; Fabian Levihn; Fredrik Gröndahl; Thomas Olofsson; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Urban analytics; building energy data; building retrofitting; urban building energy modelling; data quality; data applications; strategic planning; decision-making; energy transitions; climate-neutral cities.; Міська аналітика; дані щодо стану енергоефективності будівель; енергоефективна модернізація будівель; моделювання енергосистеми міських будівель; якість даних; застосування даних; стратегічне планування; прийняття рішень; енергетичні переходи; кліматично-нейтральні міста.; Stadsanalys; byggnadsenergidata; renovering av byggnader; urbana energimodeller; datakvalitet; datatillämpningar; strategisk planering; beslutsfattande; energiomställning; hållbara städer; klimatneutrala städer.; Industriell ekologi; Industrial Ecology;

    Abstract : Decarbonisation of the building stock is essential for energy transitions towards climate-neutral cities in Sweden, Europe and globally. Meeting 1. READ MORE

  4. 7. Our Humanity Exposed : Predictive Modelling in a Legal Context

    Author : Stanley Greenstein; Peter Wahlgren; Dan Svantesson; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; predictive modelling; predictive analytics; profiling; big data; algorithm; surveillance; privacy; autonomy; identity; digital identity; data privacy; human rights; data protection; European Convention on Human Rights; Data Protection Directive; General Data Protection Regulation GDPR ; empowerment; Law and Information Technology; rättsinformatik;

    Abstract : This thesis examines predictive modelling from the legal perspective. Predictive modelling is a technology based on applied statistics, mathematics, machine learning and artificial intelligence that uses algorithms to analyse big data collections, and identify patterns that are invisible to human beings. READ MORE

  5. 8. Topological and Scaling Analysis of Geospatial Big Data

    Author : Ding Ma; Bin Jiang; Shaowen Wang; Högskolan i Gävle; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Third definition of fractal; scaling; topology; power law; head tail breaks; ht-index; complex network; geospatial big data; natural cities; natural streets; Hållbar stadsutveckling; Sustainable Urban Development;

    Abstract : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. READ MORE

  6. 9. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?

    Author : Sylvie Evelyne Koziel; Patrik Hilber; Per Westerlund; Ebrahim Shayesteh; Iordanis Koutsopoulos; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; asset management; data analytics; data management; distribution system operators; electrical power grid; machine learning; real-world datasets; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. READ MORE

  7. 10. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Author : Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; KTH; []
    Keywords : performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. READ MORE