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Approaches to Identifying Patterns in Outliers

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I would like to know what approaches to take for detecting patterns in outliers using Splunk. I'm familiar with approaches to detect outliers but would like Splunk to help identify what things are in common to help speed up investigation of outliers. For instance, are there values in any of the fields that are common between the outliers? Or do those values typically exceed a certain threshold? Thanks! Brian

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