征税 发表于 2025-3-25 07:05:50

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Stagger 发表于 2025-3-25 08:04:08

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conifer 发表于 2025-3-25 14:21:37

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FIS 发表于 2025-3-25 17:36:31

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TIGER 发表于 2025-3-25 21:34:51

Proximity-Based Outlier Detection,Proximity-based techniques define a data point as an outlier when its locality (or .) 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 unified treatment within a single chapter.

travail 发表于 2025-3-26 02:37:06

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旅行路线 发表于 2025-3-26 05:55:57

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笨重 发表于 2025-3-26 09:33:04

Supervised Outlier Detection,ases, different types of abnormal instances could be present, and it may be desirable to distinguish among them. For example, in an intrusion-detection scenario, different types of intrusion anomalies are possible, and the specific type of an intrusion is important information.

Cumbersome 发表于 2025-3-26 15:55:30

Outlier Detection in Categorical, Text, and Mixed Attribute Data,rently categorical. In many cases, categorical and numeric attributes are found in the same data set. Such . are often challenging to machine-learning applications because of the difficulties in treating the various types of attributes in a homogeneous and consistent way.

V洗浴 发表于 2025-3-26 20:23:48

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查看完整版本: Titlebook: Outlier Analysis; Charu C. Aggarwal Textbook 2017Latest edition Springer International Publishing AG 2017 Outlier Analysis.Anomaly detecti