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Filtro per: Creatore Emmott, Andrew F. Cancella il filtro Creatore: Emmott, Andrew F. Soggetto Anomaly detection (Computer security) Cancella il filtro Soggetto: Anomaly detection (Computer security)

Risultati della ricerca

  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creatore:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis