Analyse the start activities in the process
start_activities(eventlog, level, append, ...) # S3 method for eventlog start_activities(eventlog, level = c("log", "case", "activity", "resource", "resource-activity"), append = FALSE, ...) # S3 method for grouped_eventlog start_activities(eventlog, level = c("log", "case", "activity", "resource", "resource-activity"), append = FALSE, ...)
The dataset to be used. Should be a (grouped) eventlog object.
Level of granularity for the analysis: log, case, activity, resource or resource-activity.
For more information, see
Logical, indicating whether to append results to original event log. Ignored when level is log or trace.
On log levels, this metric shows the absolute and relative number of activities that are the first activity in one or more of the cases.
On the level of the specific cases, this metric provides an overview of the start activity of each case.
On the activity level This metric calculates for each activity the absolute and relative number of cases that start with this activity type. The relative number is calculated as a portion of the number of cases, being the number of "opportunities" that an activity could be the start activity. The cumulative sum is added to have an insight in the number of activities that is required to cover a certain part of the total.
On the level of the distinct resources, an overview of which resources execute the first activity per case can be of interest for a company. Probably this person is responsible for the correct communication to the customer.
Finally, on the resource-activity level, this metric shows for each occurring resource-activity combination the absolute and relative number of times this resource executes this activity as an start activity in a case.
eventlog: Start activities for eventlog
grouped_eventlog: Start activities for grouped eventlog
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.