Search for dissertations about: "big data analytics"

Showing result 1 - 5 of 18 swedish dissertations containing the words big data analytics.

  1. 1. Big Data Analytics for Fault Detection and its Application in Maintenance

    University dissertation from Luleå : Luleå University of Technology

    Author : Liangwei Zhang; Luleå tekniska universitet.; [2016]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Big Data analytics; eMaintenance; fault detection; high-dimensional data; stream data mining; nonlinear data; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Big Data analytics has attracted intense interest recently for its attempt to extract information, knowledge and wisdom from Big Data. In industry, with the development of sensor technology and Information & Communication Technologies (ICT), reams of high-dimensional, streaming, and nonlinear data are being collected and curated to support decision-making. READ MORE

  2. 2. Big Data Analytics for eMaintenance Modeling of high-dimensional data streams

    University dissertation from Luleå : Luleå tekniska universitet

    Author : Liangwei Zhang; Luleå tekniska universitet.; [2015]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Big Data analytics has attracted intense interest from both academia and industry recently for its attempt to extract information, knowledge and wisdom from Big Data. In industry, with the development of sensor technology and Information & Communication Technologies (ICT), reams of high-dimensional data streams are being collected and curated by enterprises to support their decision-making. READ MORE

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

    University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm University

    Author : Bin Xiao; Stockholms universitet.; [2017]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Big Data; Artificial Intelligence; Data Supply; Distributed System; data- och systemvetenskap; Computer and Systems Sciences;

    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

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

    University dissertation from Stockholm : Department of Law, Stockholm University

    Author : Stanley Greenstein; Stockholms universitet.; [2017]
    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; rättsinformatik; Law and Information Technology;

    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. 5. Topological and Scaling Analysis of Geospatial Big Data

    University dissertation from Gävle : Gävle University Press

    Author : Ding Ma; Högskolan i Gävle.; [2018]
    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;

    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