Determining Process Model Using Time-Based Process Mining and Control-Flow Pattern
Abstract: Determining right
model of business process from event log is the purpose of process discovery. However
some problems i.e the inability to discover OR, noise and event log
incompleteness areemmerged while determining right model of business process.
First, OR relation is often discovered asAND relation. Second, noise problem is
occured when there are truncated and low frequency traces in event log. Thus
control-flow pattern is used to solve issues of same noise relation frequency
hence it discovers relation based on transaction function of activity.
Consequently, it can refine non noise relation in business process model.
Third, incompleteness leads to incorrect discovery of parallel process model; therefore
we used Timed-based Process Mining which utilized non-linear dependence to
solve the incompleteness. Finally this paper proposed combination of
Timed-based Process Mining and control-flow pattern to discover OR and handle
same frequency noise and incompleteness. From the experiment in section 3, this
proposed method manages to get right process model from event log.
Author: Riyanarto Sarno,
Widyasari Ayu Wibowo, Kartini, Yutika Amelia, Kelly Rossa
Journal Code: jptkomputergg160267
