Sökning: "Erik Swartling"

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  1. 1. Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach

    Master-uppsats, KTH/Matematisk statistik

    Författare :Peter Hanna; Erik Swartling; [2020]
    Nyckelord :Anomaly detection; unsupervised machine learning; high frequency sampled; time series; clustering; dimensionality reduction; DBSCAN; LOF; Anomaly detection; unsupervised machine learning; high frequency sampled; time series; clustering; dimensionality reduction; DBSCAN; LOF;

    Sammanfattning : For many companies in the manufacturing industry, attempts to find damages in their products is a vital process, especially during the production phase. Since applying different machine learning techniques can further aid the process of damage identification, it becomes a popular choice among companies to make use of these methods to enhance the production process even further. LÄS MER