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Filtering by: Creator Hansen, E. M. Remove constraint Creator: Hansen, E. M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Decade 2020-2029 Remove constraint Decade: 2020-2029 Subject Benchmarking (Management) Remove constraint Subject: Benchmarking (Management)

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  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    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
    Full Text:
    . . . . . . . . . . . . . . . 101 D Our Implementation of KLR . . . . . . . . . . . . . . . . . . . . . . . 102 E Parameterizing