Abstract
Proximity-based techniques define a data point as an outlier, if its locality (or proximity) is sparsely populated. The proximity of a data point may be defined in a variety of ways, which are subtly different from one another, but are similar enough to merit a unified treatment within a single chapter.
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© 2013 Springer Science+Business Media New York
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Aggarwal, C.C. (2013). Proximity-Based Outlier Detection. In: Outlier Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6396-2_4
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DOI: https://doi.org/10.1007/978-1-4614-6396-2_4
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Online ISBN: 978-1-4614-6396-2
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