Rapid Distance-Based Outlier Detection via Sampling

Abstract

Distance-based approaches to outlier detection are popular in data mining, as they do not require to model the underlying probability distribution, which is particularly challenging for high-dimensional data. We present an empirical comparison of various approaches to distance-based outlier detection across a large number of datasets. We report the… (More)

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Citations per Year

Citation Velocity: 27

Averaging 27 citations per year over the last 3 years.

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