Discovering high-level BPMN process models from event data
نویسندگان
چکیده
منابع مشابه
Discovering High-level BPMN Process Models from Event Data
Process mining is a well established research discipline comprising approaches for process analysis based on the history of process executions. One of the main directions in the process mining field is process discovery. Process discovery aims to develop methods for constructing process models from the event logs. The ultimate goal of process discovery is to obtain readable process models, whic...
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A wealth of techniques are available to automatically discover business process models from event logs. However, the bulk of these techniques yield procedural process models that may be useful for detailed analysis, but do not necessarily provide a comprehensible picture of the process. Additionally, barring few exceptions, these techniques do not take into account data attributes associated to...
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Existing process mining techniques are able to discover process models from event logs where each event is known to have been produced by a given process instance. In this paper we remove this restriction and address the problem of discovering the process model when the event log is provided as an unlabelled stream of events. Using a probabilistic approach, it is possible to estimate the model ...
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Process-aware information systems typically log events (e.g., in transaction logs or audit trails) related to the actual execution of business processes. Analysis of these execution logs may reveal important knowledge that can help organizations to improve the quality of their services. Starting from a process model, which can be discovered by conventional process mining algorithms, we analyze ...
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ژورنال
عنوان ژورنال: Business Process Management Journal
سال: 2018
ISSN: 1463-7154
DOI: 10.1108/bpmj-02-2018-0051