Analysis of the Maximal Pattern Mining method and its variants

Authors

  • Dávid Gégény University of Miskolc
  • Sándor Radeleczki

DOI:

https://doi.org/10.32968/psaie.2022.2.7.

Keywords:

event log, trace, pattern, workflow graph, deterministic finite automaton

Abstract

In this paper, within the framework of process mining we examine the Maximal Pattern Mining method introduced by Liesaputra et al. in [1]. This method constructs a transition graph, i.e. a labelled directed graph for traces with similar structure. The idea behind the algorithm is to analyze the traces in the event log, identify loops, parallel events and optionality between them, in order to determine the maximal patterns. In [1], the authors provide a pseudo code for the skeleton of their algorithm and discuss some parts, but other parts are not detailed. Here, we briefly discuss the steps of the algorithm and elaborate the steps that are not explained in [1]. We introduce some new subroutines to handle the loops, parallel and optional sequences.

Published

2022-08-22