Sökning: "Data handling"

Visar resultat 1 - 5 av 726 avhandlingar innehållade orden Data handling.

  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

  3. 2. 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

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

    Författare :Bin Xiao; Rahim Rahmani; Theo Kanter; Mika Ylianttila; Stockholms universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of Things; Big Data; Artificial Intelligence; Data Supply; Distributed System; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : 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. LÄS MER

  5. 4. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

    Författare :Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. LÄS MER

  7. 5. Handling severe uncertainty in strategic project appraisal : Methods and applications of context analysis

    Författare :Anton Talantsev; Aron Larsson; David Sundgren; John Ward; Stockholms universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Decision Intelligence; Deep Uncertainty; Scenario Analysis; Multiple Criteria Decision Analysis; Simulation; Context Analysis; Project Appraisal; Risk Assessment; Threat and Opportunity; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : The long-term success or failure of a strategic project is largely shaped by its context. Therefore, the assessment of the external factors influencing the fulfilment of project long-term goals is vital for the effective project appraisal and planning. LÄS MER