Path: Top -> Journal -> Telkomnika -> 2020 -> Vol 18, No 1, February

Time-based α+ miner for modelling business processes using temporal pattern

Journal from gdlhub / 2020-12-04 09:26:35
By : Yutika Amelia Effendi, Riyanarto Sarno, Telkomnika
Created : 2020-12-04, with 1 files

Keyword : Alpha+ miner; business process model; process discovery; process mining; temporal pattern
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/12733
Document Source : WEB

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.

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Publisher IDgdlhub
OrganizationTelkomnika
Contact NameHerti Yani, S.Kom
AddressJln. Jenderal Sudirman
CityJambi
RegionJambi
CountryIndonesia
Phone0741-35095
Fax0741-35093
Administrator E-mailelibrarystikom@gmail.com
CKO E-mailelibrarystikom@gmail.com

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