Sökning: "utforskande dataanalys"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden utforskande dataanalys.

  1. 1. Fysisk aktivitet vid depressiva tillstånd - hindrande och främjande faktorer : en icke-systematisk litteraturöversikt

    Kandidat-uppsats, Sophiahemmet Högskola

    Författare :Louise Axén; Mika Brorsson; [2024]
    Nyckelord :Depression; Depressive conditions; Physical activity; Motivation; Depression; Depressiva tillstånd; Fysisk aktivitet; Motivation;

    Sammanfattning : Bakgrund  Fysisk aktivitet har positiva effekter på hälsan och kan minska symtomen vid depressiva tillstånd som påverkar människors dagliga liv negativt. Fysisk aktivitet som behandlingsmetod går att likställa med antidepressiva läkemedel vid mild och måttlig depression. LÄS MER

  3. 2. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Daniel Westerholm; [2023]
    Nyckelord :Covid-19; logistic regression; clustering;

    Sammanfattning : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. LÄS MER

  4. 3. Implications of Analytics and Visualization of Torque Tightening Process Data on Decision Making : An automotive perspective

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Nikhil Thomas; [2023]
    Nyckelord :Torque tightening; Digitalization; Data Analytics; Visualization; Momentåtdragning; Digitalisering; Dataanalys; Visualisering;

    Sammanfattning : In recent years, there is an increased focus on integrating digital technologies in industrial processes, also termed ”Industry 4.0”. Out of the many challenges for the transition, one is to understand how to find useful insights from data collected over large periods of time, predominantly in industrial IT systems. LÄS MER

  5. 4. Properties of Discrete Laplacians With Application on Brain Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :David Thinsz; [2022]
    Nyckelord :Graph Laplacian; Combinatorial Laplacian; Persistent Laplacian; Topological data analysis; Spectral theory; Homology; Clustering.; Graf-Laplacian; Kombinatorisk Laplacian; Beständig Laplacian; Topologisk dataanalys; Spektralteori; Homologi; Klustring.;

    Sammanfattning : This thesis investigates three discrete Laplace operators: the graph Laplacian, combinatorial Laplacian, and the more recently introduced persistent Laplacian. We discuss how these operators relate to each other and study their spectral properties. The graph Laplacian is a well-studied operator that plays a central role in spectral graph theory. LÄS MER

  7. 5. Money Laundering Detection using Tree Boosting and Graph Learning Algorithms

    Master-uppsats, KTH/Matematisk statistik

    Författare :Rickard Frumerie; [2021]
    Nyckelord :Tree boosting; XGBoost; graph convolutional networks GCN ; node and edge neural networks NENN ; exploratory data analysis EDA ; anti money laundering AML ; financial graph networks.; Trädalgoritmer; XGBoost; convolutions grafnätverk GCN ; nod och kant neurala nätverk NENN ; utforskande dataanalys; penningtvättsbekämpning AML ; finansiella grafnätverk.;

    Sammanfattning : In this masters thesis we focused on using machine learning methods for detecting money laundering in financial transaction networks, in order to demonstrate that it can be used as a complement or instead of the more commonly used rule based systems. The graph learning method graph convolutional networks (GCN) has been a hot topic in the field since they were shown to scale well with data size back in 2018. LÄS MER