1. User Manual
  2. Discovery
  3. Discover model

Discover model

Apromore allows us to discover a process map or a BPMN model from an event log. A process map (a.k.a. directly-follows graph) is a visual representation of the log as a graph where nodes capture process activities and directed arcs between these nodes capture sequential order relations between the activities. For example, an arc going from activity “Accept order” to activity “Check order” indicates that in the log it has been observed that process cases flow from “Accept order” to “Check order”. Process maps are a simple yet effective means to understand the basic order of relationships between process activities. As such, they are the most common type of model discovered by commercial process mining tools.

View Process Map

To view the process map, double-click on a log. Alternatively, you can select a log from the repository and click on “Discover > Discover model”.

A window will open up, showing the process map discovered from the log.

Abstraction Settings

We can adjust the complexity of the discovered map by increasing and/or decreasing the frequency or duration of nodes and arcs that are visualized in our process map. The default values for the nodes and arcs sliders are 100% and 10% respectively.

We can abstract a process map by “Case frequency” or “Average Duration”. For example, if we abstract by case frequency and shift the arcs or nodes slider towards the left, more edges/nodes with low case frequency will be removed from the process map.

Similarly, if we abstract by “Average Duration” and shift the arcs or nodes slider towards the left, more edges/nodes with low average duration will be removed from the process map.

Visualize by Frequency

We can view simple statistics of the event log such as the total, median, minimum, maximum and average number of times an activity is executed. This information is provided both as a label on the activities/arcs as well as encoded in the colour of activities (the darker the blue colour, the higher the number of times that activity has been observed in the log) and in the thickness of arcs (the thicker arc, the higher the frequency of that arc). In order to view different statistics, we can use the Frequency drop-down list in the “Visualization settings” section.

Visualize by Duration

We can also view the statistics on the time performance of the activities and arcs in the process map by using the “Duration” drop-down list in the “Visualization settings” section. These are total, mean, median, minimum, maximum and average duration of each arc (indicating the waiting time before starting a given activity, once the previous one has been completed), and total, mean, median, minimum, maximum and average duration of each arc duration of an activity (a.k.a. the activity’s processing time). If the log only has completion timestamps for each activity and not their start timestamp, these performance statistics will combine both processing time and waiting time into a single time statistics visualized on the arc, while activities will be shown as having an instantaneous duration.

Similar to frequency statistics, time performance statistics are also visualized via labels on activities and arcs, as well as via colours and line thickness (on a red scale) for activities and arcs.

Visualize by Frequency and Duration

We can also view both “Frequency” and “Duration” at the same time by clicking the ‘eye’ button. For example, if we are viewing our process map in “Frequency” mode we can also view the “Duration” as a secondary metric by clicking on the “eye” button.

Visualize by Different Perspectives

Visualizing the handover between activities is not the only way a process can be analysed. There will be times where we may be interested in assessing if a certain resource or group of resources are overloaded with work. When clicking on “Perspective” a user can decide which attribute of the log will be the focus of the process map.

For example, to visualize the handover of work among a group of resources we can select the option “group”. This option will map the organizational role of each actor involved in our process to a node and will connect two nodes if a handover of work occurs between the two nodes.

Filter Log

When analysing an event log we may be interested in isolating a certain type of behaviour or removing a specific activity and so on. An event log can be filtered clicking on “Filter” icon and creating a new filter that fits our needs. For more information on the optimal use of “Filter”, we suggest to view the Filter Log manual.

View BPMN Model

Whenever the insights deriving from the analysis of a process map are not sufficient, the same functionalities are offered on top of a BPMN model. Changing the view from “Process Map” to “BPMN model” will automatically discover a BPMN model from an event log. When visualizing a BPMN model, the slider “Parallelism” offers the possibility to adjust the amount of parallelism (e.g. AND and OR gateways) discovered by the plugin.

Export Process Map/BPMN Model

A filtered log or discovered process map/BPMN can be exported by clicking on the different save buttons that allows us to export the model as a “.bpmn”, a PDF, PNG or a JSON file.

Animate Log (Process Map)

The Animate button allows one to replay the log on top of the process map, using the Animate a log on top of process map feature.

Search Activity

We can also search for an activity by using the search bar on the top-right.

For ease of view, the search results gets highlighted in the process map.