Sökning: "lenart jakub"

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  1. 1. Detection of software incidents from large log material with the use of unsupervised machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Nyckelord :binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Sammanfattning : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. LÄS MER