arsenal
发表于 2025-3-23 12:02:39
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后天习得
发表于 2025-3-23 17:35:17
Supervised Outlier Detection, abnormalities in the data. In such scenarios, many of the anomalies found correspond to noise, and may not be of any interest to an analyst. It has been observed in diverse applications such as system anomaly detection, financial fraud, and web robot detection that ..
Folklore
发表于 2025-3-23 20:18:22
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惰性女人
发表于 2025-3-23 23:33:26
An Introduction to Outlier Analysis,An outlier is a data point which is significantly different from the remaining data.
ABOUT
发表于 2025-3-24 03:58:05
Proximity-Based Outlier Detection,Proximity-based techniques define a data point as an outlier, if 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 a unified treatment within a single chapter.
cancer
发表于 2025-3-24 09:04:00
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faddish
发表于 2025-3-24 12:56:13
Outlier Detection in Graphs and Networks,Graphs represent one of the most powerful and general forms of data representation, which can express diverse data, ranging from multidimensional entity-relation graphs, the web, social networks, communication networks, and biological and chemical compounds.
antiquated
发表于 2025-3-24 16:20:06
Charu C. AggarwalEach chapter contains key research content on the topic, case studies, extensive bibliographic notes and the future direction of research in this field.Covers applications for credit card fraud, netwo
Irrepressible
发表于 2025-3-24 22:30:15
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改变
发表于 2025-3-25 01:55:56
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