Defining a pattern

Before DataMiner Analytics can track specific patterns, you first need to define those patterns:

• From DataMiner 10.3.6/10.4.0 onwards
• Prior to DataMiner 10.3.6/10.4.0

In a trend graph showing trend information for one single parameter (univariate patterns) or multiple parameters (multivariate patterns), first select the section of the graph that you identify as a recurring pattern. The way you can do so depends on the configuration of the trending user settings. See Trending settings.

There are two ways to define the pattern, a quick way where you use all default options, and a more extensive way where you can customize those options.

• To quickly define a pattern, click the tag icon, enter a name for the pattern definition, and click the check mark icon.

• To define a pattern with custom options:

  1. Click the tag icon and then click the cogwheel icon.

  2. Enter a name and (optionally) a description.

  3. If you want the patterns to be available for other DataMiner functionality, e.g. to generate suggestion events or via the Generic Query Interface in dashboards or low-code apps, select Continuously detect patterns in the background.

  4. If you want the patterns to be detected for all elements using the protocol instead of the current element only, next to Apply to, click the element name and select the protocol instead.

  5. For a table parameter, if you want the pattern to be selected for all rows in the table instead of the current row only, next to Apply to, select all rows.

Note

Pattern matching is not supported for general parameters.