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  • 标题:Guided Interaction Exploration and Performance Analysisin Artifact-Centric Process Models
  • 本地全文:下载
  • 作者:Eck, Maikel L ; van der Aalst, Wil M. P.
  • 期刊名称:Business & Information Systems Engineering
  • 出版年度:2019
  • 卷号:61
  • 期号:6
  • 页码:649-663
  • DOI:10.1007/s12599-018-0546-0
  • 出版社:Association for Information Systems
  • 摘要:Artifact-centric process models aim to describecomplex processes as a collection of interacting artifacts.Recent development in process mining allow for the dis-covery of such models. However, the focus is often on therepresentation of the individual artifacts rather than theirinteractions. Based on event data, composite state machi-nes representing artifact-centric processes can be discov-ered automatically. Moreover, the study provides ways ofvisualising and quantifying interactions among differentartifacts. For example, strongly correlated behaviours indifferent artifacts can be highlighted. Interesting correla-tions can be subsequently analysed to identify potentialcauses of process performance issues. The study provides astrategy to explore the interactions and performance dif-ferences in this context. The approach has been fullyimplemented as a ProM plug-in; the CSM Miner providesan interactive artifact-centric process discovery toolfocussing on interactions. The approach has been evaluatedusing real life data, to show that the guided exploration ofartifact interactions can successfully identify process per-formance issues.
  • 关键词:Process discovery; Artifact-centric processes; Performance analysis; Interactive process exploration
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