Dell PowerConnect W Clearpass 100 Software 3.9 Deployment Guide - Page 337

Classification Groups, Filter Type, Create Source Filter, Groups

Page 337 highlights

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  List: Value is not one of a list (case sensitive)  List: Value is one of a list  List: Value is one of a list (case sensitive)  Match: Value does not match regular expression  Match: Value does not match regular expression (case sensitive)  Match: Value matches regular expression  Match: Value matches regular expression (case sensitive)  Match: Value is equal to  Match: Value is equal to (case sensitive)  Match: Value is not equal to  Match: Value is not equal to (case sensitive)  Range: Value is > minimum and < maximum  Range: Value is > minimum and = minimum and < maximum  Range: Value is >= minimum and

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ClearPass Guest 3.9
| Deployment Guide
Report Management
|
337
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
 List: Value is not one of a list (case sensitive)
 List: Value is one of a list
 List: Value is one of a list (case sensitive)
 Match: Value does not match regular expression
 Match: Value does not match regular expression (case sensitive)
 Match: Value matches regular expression
 Match: Value matches regular expression (case sensitive)
 Match: Value is equal to
 Match: Value is equal to (case sensitive)
 Match: Value is not equal to
 Match: Value is not equal to (case sensitive)
 Range: Value is > minimum and < maximum
 Range: Value is > minimum and <= maximum
 Range: Value is >= minimum and < maximum
 Range: Value is >= minimum and <= maximum
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
Create Source Filter
button to add this filter.
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.
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
“Data Sources”
in this chapter for more information about bin classifications.
Groups
are classification methods that apply to discrete values. For example, collecting together data
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
“Groups”
in this chapter for more
information about group classifications.