Discovering High-Level Process Models from Event Logs
Process mining is a relatively new field of computer science, which deals with process discovery and analysis based on event logs. In this paper we consider the problem of discovering a high-level business process model from a low-level event log, i.e. automatic synthesis of process models based on t...
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| Format: | Article |
| Language: | English |
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Yaroslavl State University
2017-04-01
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| Series: | Моделирование и анализ информационных систем |
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| Online Access: | https://www.mais-journal.ru/jour/article/view/504 |
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| author | Antonina A. Begicheva Irina A. Lomazov |
| author_facet | Antonina A. Begicheva Irina A. Lomazov |
| author_sort | Antonina A. Begicheva |
| collection | DOAJ |
| description | Process mining is a relatively new field of computer science, which deals with process discovery and analysis based on event logs. In this paper we consider the problem of discovering a high-level business process model from a low-level event log, i.e. automatic synthesis of process models based on the information stored in event logs of information systems. Events in a high-level model are abstract events, which can be refined to low-level subprocesses, whose behavior is recorded in event logs. Models synthesis is intensively studied in the frame of process mining research, but only models and event logs of the same granularity are mainly considered in the literature. Here we present an algorithm for discovering high-level acyclic process models from event logs and some specified partition of low-level events into subsets associated with abstract events in a high-level model. |
| format | Article |
| id | doaj-art-e2fe45c55db74feca7cc29b62bcf33ff |
| institution | DOAJ |
| issn | 1818-1015 2313-5417 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Yaroslavl State University |
| record_format | Article |
| series | Моделирование и анализ информационных систем |
| spelling | doaj-art-e2fe45c55db74feca7cc29b62bcf33ff2025-08-20T03:22:07ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172017-04-0124212514010.18255/1818-1015-2017-2-125-140357Discovering High-Level Process Models from Event LogsAntonina A. Begicheva0Irina A. Lomazov1National Research University Higher School of Economics Laboratory of Process-Aware Information SystemsNational Research University Higher School of EconomicsProcess mining is a relatively new field of computer science, which deals with process discovery and analysis based on event logs. In this paper we consider the problem of discovering a high-level business process model from a low-level event log, i.e. automatic synthesis of process models based on the information stored in event logs of information systems. Events in a high-level model are abstract events, which can be refined to low-level subprocesses, whose behavior is recorded in event logs. Models synthesis is intensively studied in the frame of process mining research, but only models and event logs of the same granularity are mainly considered in the literature. Here we present an algorithm for discovering high-level acyclic process models from event logs and some specified partition of low-level events into subsets associated with abstract events in a high-level model.https://www.mais-journal.ru/jour/article/view/504petri netshigh-level process modelsevent logsprocess miningprocess discovery |
| spellingShingle | Antonina A. Begicheva Irina A. Lomazov Discovering High-Level Process Models from Event Logs Моделирование и анализ информационных систем petri nets high-level process models event logs process mining process discovery |
| title | Discovering High-Level Process Models from Event Logs |
| title_full | Discovering High-Level Process Models from Event Logs |
| title_fullStr | Discovering High-Level Process Models from Event Logs |
| title_full_unstemmed | Discovering High-Level Process Models from Event Logs |
| title_short | Discovering High-Level Process Models from Event Logs |
| title_sort | discovering high level process models from event logs |
| topic | petri nets high-level process models event logs process mining process discovery |
| url | https://www.mais-journal.ru/jour/article/view/504 |
| work_keys_str_mv | AT antoninaabegicheva discoveringhighlevelprocessmodelsfromeventlogs AT irinaalomazov discoveringhighlevelprocessmodelsfromeventlogs |