Sökning: "Nätverkiskt Representationsinlärning"

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  1. 1. Real-time Anomaly Detection on Financial Data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anna Martignano; [2020]
    Nyckelord :Network Representation Learning; Anomaly Detection; Financial Industry; Graph Neural Networks; Dynamic Graphs; Heterogeneous Graphs; Nätverkiskt Representationsinlärning; Avvikelse av Anomali; Finansiell Industri; Grafiskt Neuralt Nätverk; Dynamiska Grafer; Heterogena Grafer;

    Sammanfattning : This work presents an investigation of tailoring Network Representation Learning (NRL) for an application in the Financial Industry. NRL approaches are data-driven models that learn how to encode graph structures into low-dimensional vector spaces, which can be further exploited by downstream Machine Learning applications. LÄS MER