
Abstract In this paper, we present Fodina, a process discovery technique with a strong focus on robustness and flexibility. To do so, we improve upon and extend an existing process discovery algorithm, namely Heuristics Miner. We have identified several drawbacks which impact the reliability of existing heuristic-based process discovery techniques and therefore propose a new algorithm which is shown to be better performing in terms of process model quality, adds the ability to mine duplicate tasks, and allows for flexible configuration options.
Event logs, Technology, ARTIFICIAL NEGATIVE EVENTS, Computer Science, Information Systems, Science & Technology, 15 Commerce, Management, Tourism and Services, Operations Research & Management Science, Process discovery, LOGS, 46 Information and computing sciences, Computer Science, Artificial Intelligence, Computer Science, 35 Commerce, management, tourism and services, Process mining, 08 Information and Computing Sciences, 49 Mathematical sciences, 01 Mathematical Sciences, Information Systems
Event logs, Technology, ARTIFICIAL NEGATIVE EVENTS, Computer Science, Information Systems, Science & Technology, 15 Commerce, Management, Tourism and Services, Operations Research & Management Science, Process discovery, LOGS, 46 Information and computing sciences, Computer Science, Artificial Intelligence, Computer Science, 35 Commerce, management, tourism and services, Process mining, 08 Information and Computing Sciences, 49 Mathematical sciences, 01 Mathematical Sciences, Information Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 103 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
