Search for dissertations about: "Data-"

Showing result 1 - 5 of 24298 swedish dissertations containing the word Data-.

  2. 1. Data Stream Mining and Analysis : Clustering Evolving Data

    Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

    Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE

  4. 2. External Data Incorporation into Data Warehouses

    Author : Mattias Strand; Benkt Wangler; Mats Danielsson; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data warehouse; external data; syndicate data; Computer and systems science; Data- och systemvetenskap; Technology;

    Abstract : Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. READ MORE

  5. 3. Data Privacy for Big Automotive Data

    Author : Boel Nelson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data privacy; differential privacy; big data; vehicular data; privacy;

    Abstract : In an age where data is becoming increasingly more valuable as itallows for data analysis and machine learning, big data has become ahot topic. With big data processing, analyses can be carried out onhuge amounts of user data. READ MORE

  6. 4. Health Data : Representation and (In)visibility

    Author : Pedro Sanches; Magnus Boman; Catherine Mulligan; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Health data requires context to be understood. I show how, by examining two areas: self-surveillance, with a focus on representation of bodily data, and mass-surveillance, with a focus on representing populations. READ MORE

  7. 5. Data management and Data Pipelines: An empirical investigation in the embedded systems domain

    Author : Aiswarya Raj Munappy; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data management; empirical investigation; artificial intelligence; data pipelines; embedded systems; software engineering; machine learning;

    Abstract : Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. READ MORE