Determines the number of events for a required time resolution. The microservice takes as an input the entire dataset and the time resolution (example 100ms). The micro service will output the given time interval (startTime, endTime) and the resulted number of event occurrences.

Simplifies the dataset to the most meaningful data Filtering the dataset based on the text of the event

Removes the duplicate events Determine pre-existing relationships between events for a requested temporal resolution (example 500ms) and reduce the data set by aggregating events with duplicate value.

Find most frequent top N events Finds the most frequent events, which are sorted by the number of appearances in a dataset in a descending order.

Applies the patterns specified in body on a list of events Finds all instances of the specified pattern(s) in a collection of events.