文章基本信息

标题：Time-based α miner for modelling business processes using temporal pattern
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作者：Yutika Amelia Effendi ; Riyanarto Sarno
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2020
卷号：18
期号：1
页码：114-123
DOI：10.12928/telkomnika.v18i1.12733
出版社：Universitas Ahmad Dahlan
摘要：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.
关键词：Alpha miner; business process model; process discovery; process mining; temporal pattern;