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Filtering by: Creator Schram, Julie B. Remove constraint Creator: Schram, Julie B. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Creator Emmott, Andrew F. Remove constraint Creator: Emmott, Andrew F.

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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:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 A Comparison to Our Previous Work . . . . . . . . . . . . . . . . . . . 98 B The Synthetic