Search for dissertations about: "big data analytics"

Showing result 16 - 20 of 33 swedish dissertations containing the words big data analytics.

  2. 16. Living Structure for Understanding Human Activity Patterns Using Multi-Source Geospatial Big Data

    Author : Zheng Ren; Bin Jiang; Stefan Seipel; Itzhak Benenson; Högskolan i Gävle; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; living structure; topological representation; human activities; natural cities; urban centres; complex network; head tail breaks; big data; Hållbar stadsutveckling; Sustainable Urban Development;

    Abstract : Geographic space is not neutral or lifeless, but an intricate living structure composed of numerous small features and a few large ones across all scales. The living structure is crucial for comprehending how geographic space shapes human activities. READ MORE

  4. 17. Methods and Algorithms for Data-Intensive Computing : Streams, Graphs, and Geo-Distribution

    Author : Hooman Peiro Sajjad; Vladimir Vlassov; Keijo Heljanko; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; stream processing; geo-distributed infrastructure; edge computing; streaming graph; dynamic graph; Informations- och kommunikationsteknik; Information and Communication Technology; Datalogi; Computer Science;

    Abstract : Struggling with the volume and velocity of Big Data has attracted lots of interest towards stream processing paradigm, a paradigm in the area of data-intensive computing that provides methods and solutions to process data in motion. Today's Big Data includes geo-distributed data sources. READ MORE

  5. 18. Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data

    Author : Roger Alves de Oliveira; Math Bollen; Sarah Rönnberg; Matti Lehtonen; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; power quality; power system harmonics; electric power distribution; interharmonics; big data analytics; pattern analysis; unsupervised learning; deep learning; artificial intelligence; geomagnetically induced currents; Electric Power Engineering; Elkraftteknik;

    Abstract : Continuous power quality monitoring allows grid stakeholders to obtain information about the performance of the network and costumer facilities. Moreover, the analysis of continuous monitoring allows researchers to obtain knowledge on power quality phenomena. Power quality measurements result in a large amount of data. READ MORE

  6. 19. Scalable Analysis of Large Datasets in Life Sciences

    Author : Laeeq Ahmed; Erwin Laure; Ola Spjuth; Ake Edlund; Vincent Breton; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Big Data; Apache Spark; Virtual Screening; EEG; Cloud Computing; Life Sciences; Machine Learning; Computer Science; Datalogi;

    Abstract : We are experiencing a deluge of data in all fields of scientific and business research, particularly in the life sciences, due to the development of better instrumentation and the rapid advancements that have occurred in information technology in recent times. There are major challenges when it comes to handling such large amounts of data. READ MORE

  7. 20. Privacy preserving behaviour learning for the IoT ecosystem

    Author : Sana Imtiaz; Vladimir Vlassov; Ramin Sadre; Sarunas Girdzijauskas; Omer Rana; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of things; big data; privacy; smart health care; machine learning; synthetic data generation; generative adversarial networks; time-series data; distributed machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. READ MORE