Outlier


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Outlier

A data point significantly different from others in the same set. An outlier is generally due to statistical noise and not to any fundamental difficulty with the data set. Taking the mean and median values of a data set can help reduce the influence of outliers. They are also called outlying observations.
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Agencies also exploited outlier payments of the PPS, which is the focus of our study.
Angle-Based Outlier Detection in HighDimensional Data," Proc.
This was then used to sensitively determine reasons for outliers, highlight training needs and give an explanation of why the clinical lead was addressing these issues.
Intrusion detection in computer networks is one of the common areas of application of outlier detection.
Based on previous studies, this paper proposes an uncertain outlier detection algorithm of cleaning for RFID data streams, combining wavelet density estimation method.
Lowest Total Cost of Ownership : Delivered as Software-as-a-Service and agentless, Outlier dramatically reduces the cost of deploying and managing an endpoint threat detection and response solution.
Privacy Preserving Outlier Detection Using Hierarchical Clustering Methods, 2010.
If the history of past outliers is a guide, he is likely to spring more than his share of surprises.
As in previous experiments, shape expressed quality; but in addition, size, which was hitherto applied only to make it easier to detect the outlier, was adjusted to illustrate whether the outlier was mild, moderate, or extreme (Figure 4a).
Clearly, it is necessary to identify the existence of an outlier in a set of data.
The results from all 4 analyzers on which an outlier was detected are presented in Table 3; in only 1 sample was an outlier observed in 2 methods (Architect i2000SR and ADVIA Centaur XP).
All most all studies that consider outlier identification as their primary objective are in statistics.