DEWS 2007 M 4-4 Example-Based DB-Outlier Detection from High Dimensional Datasets

Abstract

Outlier detection is an important problem that has applications in many fields. High dimensional datasets are common in such applications. Among the existing outlier detection methods, Distance-Based outlier (DB-Outlier) detection is one of the most generalizable and simplest approaches. It finds outliers by calculating distances between data points… (More)

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