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Filtering by: Creator Emmott, Andrew Academic Affiliation Statistics

Statistical Properties and Guarantees for Certain Anomaly Detection Relevant Problems

Creator:

Liu, Si

Abstract:

Anomaly detection aims at detecting the points that appear different than the majority of the data, such that they are suspected to be generated from a different distribution. Anomaly detectors have been applied in many different fields, such as detecting fraudulent behaviors in bank transaction, finding broken sensors in a...

Resource Type:

Dissertation

Full Text:

by Emmott et al. [2015]. For both methods, the final anomaly scores are computed based on an average
Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

Creator:

Zongo, Kalbi F.

Abstract:

Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...

Resource Type:

Dissertation