TELKOMNIKA Telecommunication, Computing, Electronics and Control
Time-based α+ miner for modelling business processes using temporal pattern

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Time-based α+ miner for modelling business processes using temporal pattern

Alpha+ miner, Business process model, Process discovery, Process mining, Temporal pattern

Business processes are implemented in an organization. When a business process is run, it generates event log. One type of event log is double timestamp event log. Double timestamp has the start and complete time of each activity executed in the business process and has a close relationship with temporal pattern. In this paper, seven types of temporal pattern between activities were presented as extended version of relations used in the double timestamp event log. Since the event log was not always executed in sequential way, therefore using temporal pattern, event log was divided into several small groups to mine the business process both sequential and parallel. Both temporal pattern and Time-based α+ Miner algorithm were used to mine process model, determined sequential and parallel relations and then evaluated the process model using fitness value. This paper was focused on the advantages of temporal pattern implemented in Time-based α+ Miner
algorithm to mine business process. The results also clearly stated that
the proposed method could present better result rather than that of original α+ Miner algorithm.

Yutika Amelia Effendi, Riyanarto Sarno

DOI: 10.12928/TELKOMNIKA.v18i1.12733

Universitas Ahmad Dahlan

February 2020

Sri Wahyuni

ISSN: 1693-6930

http://journal.uad.ac.id/index.php/TELKOMNIKA

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TELKOMNIKA Telecommunication, Computing, Electronics and Control