Classification Groups - Aruba Networks PowerConnect W Clearpass 100 Software Deployment Manual

You must then select the filter from the Filter Type drop down list. The following options are available:
List: Value is not one of a list
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List: Value is not one of a list (case sensitive)
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List: Value is one of a list
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List: Value is one of a list (case sensitive)
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Match: Value does not match regular expression
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Match: Value does not match regular expression (case sensitive)
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Match: Value matches regular expression
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Match: Value matches regular expression (case sensitive)
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Match: Value is equal to
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Match: Value is equal to (case sensitive)
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Match: Value is not equal to
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Match: Value is not equal to (case sensitive)
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Range: Value is > minimum and < maximum
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Range: Value is > minimum and <= maximum
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Range: Value is >= minimum and < maximum
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Range: Value is >= minimum and <= maximum
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Additional options are displayed depending on the filter type – list, match or range. Complete the form by
entering appropriate options for use by the filter.
Click the

Classification Groups

Classification groups are ways of collecting together groups of related input data records.
Often, the purpose of a report is to discover any underlying patterns or trends in the data. This can usually
be done by looking at the raw data of the report, subdividing it into various groups of related data, and then
analyzing the groups using statistics and graphs to identify the desired features.
Classification groups perform the task of grouping related input data into sets, which makes it possible to
calculate statistics over the items of interest.
There are two types of classification groups:
Bins are classification methods that convert a continuous measurement into a discrete measurement.
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For example, converting a time measurement into a date is a 'bin' classification, because all time
measurements that are made on any particular date will fall into the same 'bin' when this classification is
applied. Binning applies to numerical values only, such as time measurements, data traffic
measurements, or the duration of a user's session, where the range of possible values is potentially
unlimited. See
Groups are classification methods that apply to discrete values. For example, collecting together data
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records that have the same username is a group classification, as is grouping based on just the first letter
of the username. Some time measurements can be grouped; for example, grouping all time
measurements based on the hour of the day, or day of the week, is a group classification rather than a
bin classification, because the set of possible values is fixed. See
information about group classifications.
Amigopod 3.7 | Deployment Guide
Create Source Filter button to add this filter.
"Data Sources" in this chapter for more information about bin classifications.
"Groups" in this chapter for more
Report Management | 261