Sökning: "Data models"

Visar resultat 1 - 5 av 5669 avhandlingar innehållade orden Data models.

  1. 1. Kretslopp av data : Miljö, befolkning, förvaltning och den tidiga digitaliseringens kulturtekniker

    Författare :Johan Fredrikzon; Staffan Bergwik; Thomas Götselius; Anders Ekström; Stockholms universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; archive; digital; data; cartography; census; cultural technique; cybernetics; delete; ecology; environment; erase; infrastructure; linking; magnetic; modelling; monitoring; office; paper; recycling; reuse; surveillance; system; tape; UNEP; waste; arkiv; databas; datahantering; datalag; datasäkerhet; Earthwatch; ekologi; Forrester; Foucault; integritet; kontor; länkning; materialitet; modellering; Odum; ordbehandling; radera; SCB; skräp; statskontoret; tidsgeografi; återanvändning; övervakning; History of Ideas; idéhistoria;

    Sammanfattning : This dissertation explores the early digitalization in Sweden. As host to the first summit on the environment in Stockholm 1972 (UNCHE), as leading procurer of computer equipment as well as initiator to the world's first national Data Act of 1973, Sweden pioneered domains that have since emerged as critical to our age: environmental challenges and digital technology. LÄS MER

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

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

    Sammanfattning : 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. LÄS MER

  3. 3. Learning from Complex Medical Data Sources

    Författare :Jonathan Rebane; Panagiotis Papapetrou; Isak Samsten; Myra Spiliopoulou; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Data Science; Healthcare; Complex Data; Explainable AI; Deep Learning; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. LÄS MER

  4. 4. Order in the random forest

    Författare :Isak Karlsson; Henrik Boström; Lars Asker; Pierre Geurts; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; random forest; ensemble; time series; data series; sequential data; sparse data; high-dimensional data; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER

  5. 5. Collaboration and Coordination Challenges in Patient-Centered Care : Models and Informaion Services

    Författare :Monica Winge; Benkt Wangler; Paul Johannesson; Fredrik Karlsson; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; patient-centered care; healthcare; social care; home care; collaboration; coordination; care processes; processes coordination; multi-sectoral collaboration; communication; information models; information services; management; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : This thesis reports on research focuses on how to deal with the fact that the organization and processesof today’s health and social care are becoming ever more complex as a consequence of societal trends, including an aging population and an increased reliance on care at home. The overall research goal is to suggest ways in which IT-based solutions can enable and leverage collaboration and coordination insituations where a co-morbid patient is subject to care delivered simultaneously by several different professionals and organizations. LÄS MER