Sökning: "Outlier detection in high-dimensional data"

Hittade 2 uppsatser innehållade orden Outlier detection in high-dimensional data.

  1. 1. Market Surveillance Using Empirical Quantile Model and Machine Learning

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Daniel Landberg; [2022]
    Nyckelord :Market surveillance; Outlier detection; Empirical quantiles; Empirical distribution; Isolation forest; Principal Component Analysis; PCA; Finance; Marknadsövervakning; Extremvärdes upptäckt; Empiriska kvantiler; Empirisk distribution; Isolationsskog; Huvudkomponent analys; Finans;

    Sammanfattning : In recent years, financial trading has become more available. This has led to more market participants and more trades taking place each day. The increased activity also implies an increasing number of abusive trades. To detect the abusive trades, market surveillance systems are developed and used. LÄS MER

  3. 2. Autoencoder outlier detection during the Covid-19 vaccination campaign

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Författare :Thomas Eriksson; [2022]
    Nyckelord :Vaccine side effects; Covid-19; Outlier detection in high-dimensional data; Deep learning; Machine learning; AI; Autoencoder; Healthcare registers.; Physics and Astronomy; Medicine and Health Sciences;

    Sammanfattning : Outlier detection in high-dimensional data is a complex task, useful in many fields. One major application is in healthcare, where the high-dimensional healthcare registers can be used to detect patterns related to the medical behaviour and state of the population. LÄS MER