TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 14, No 1: March 2016

Determining Process Model Using Time-Based Process Mining and Control-Flow Pattern

Riyanarto Sarno (Institut Teknologi Sepuluh Nopember)
Widyasari Ayu Wibowo (Institut Teknologi Sepuluh Nopember)
Kartini Kartini (Institut Teknologi Sepuluh Nopember)
Yutika Amelia (Institut Teknologi Sepuluh Nopember)
Kelly Rossa (Institut Teknologi Sepuluh Nopember)



Article Info

Publish Date
01 Mar 2016

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 are emmerged while determining right model of business process. First, OR relation is often discovered as AND 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.

Copyrights © 2016






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...