Avancerad sökning

Visar resultat 1 - 5 av 613 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sacko Balbas; Arvid Törnquist; [2024]
    Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

    Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

  3. 2. Childhood family structure in 16 European countries

    Master-uppsats, Stockholms universitet/Sociologiska institutionen

    Författare :Andreas Gustafsson; [2024]
    Nyckelord :child outcomes; Europe; comparative; divorce; stepfamily; sequence analysis;

    Sammanfattning : At the end of the 20th century we saw great changes in family dynamics with rates ofseparation and re-partnerning increasing across Europe. Previous research has primarilyfocused on adults but less is known about how these family demographic changes haveaffected children's family structure. LÄS MER

  4. 3. Cluster Analysis on Football Teams Performance Data

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Clarence Thunberg Kalt; [2024]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  5. 4. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  7. 5. Evaluating Connectivity for RabbitMQ stream clients in front of Load Balancers

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Hanna Littorin; [2024]
    Nyckelord :;

    Sammanfattning : Message brokers play a crucial role in decoupling senders and receivers within distributed systems. In some scenarios, it is necessary to distribute a message broker across multiple nodes to form a cluster. To ensure even and fair distribution of client requests across nodes, load balancers are commonly employed in front of the cluster. LÄS MER