Essays about: "utforskande dataanalys"

Showing result 1 - 5 of 7 essays containing the words utforskande dataanalys.

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Daniel Westerholm; [2023]
    Keywords : Covid-19; logistic regression; clustering;

    Abstract : 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. READ MORE

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

    University essay from KTH/Produktionsutveckling

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Matematisk statistik

    Author : Rickard Frumerie; [2021]
    Keywords : 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.;

    Abstract : 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. READ MORE

  6. 5. Cross-industry Exploration of Product Repair Applications enabled by Additive Manufacturing

    University essay from KTH/Industriell produktion

    Author : Nico Florian Albrecht; [2021]
    Keywords : ;

    Abstract : Repair activities could benefit from Additive Manufacturing (AM) technology as a result of the politically planned, continuous implementation of circular economy into European industry. AM provides novel opportunities with regard to design-optimized, tailored, and demand-specific, small batch size production. READ MORE