Workflow mining: discovering process models from event logs

By Wil M.P. van der Aalst, A. Weijters, Laura Maruster. IEEE Transactions on Knowledge and Data Engineering, 2004

2,422 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/322beb11ceeacf72dfc9df8df8cb045efb46d67f

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Citations in the corpus

Improving bug triage with bug tossing graphs (2009, methodology): “Most approaches use various statistical models to mine workflow from activity logs [1, 24–26].”
Mining process models with non-free-choice constructs (2007, methodology): “Using existing algorithms such as the α algorithm [13, 42], the WF-net (a) shown in Figure 5 cannot be discovered, i.”
Impact of business analytics and enterprise systems on managerial accounting (2017, methodology): “For example, using event logs provided by ERP systems, process mining can be used to extract work ﬂ ow processes (Van der Aalst et al., 2004), which can be integrated with visualization techniques to provide a comprehensive illustration of the work processes that are taking place within the…”
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2013, background): “This has numerous disadvantages, as it is difficult to identify infrequent behaviour, and even when infrequent behaviour is filtered out, discovery algorithms (α [6], B’ [16], ILP [21]) might still produce undesirable models.”
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013, methodology): “Many process discovery algorithms [5,25,26,24,7,11,27,17,4,19,9,3] using different approaches have been proposed in the past.”
XES, XESame, and ProM 6 (2010, background): “As a result, a plug-in like the α-miner [3] could not be run without having it popping up dialogs.”
Process mining: a two-step approach to balance between underfitting and overfitting (2008, methodology): “Figure2 shows an example of a log and the corresponding process model discovered using the α-algorithm [7].”
Conformance checking of processes based on monitoring real behavior (2008, background): “, the amount of information a log needs to contain to be able to rediscover the underlying process model [11].”
Process Mining and Verification of Properties: An Approach Based on Temporal Logic (2005, methodology): “Then there are several variants of the α algorithm [8, 37].”
Process Mining (2016, methodology): “6 The process model discovered by the α-algorithm [157] based on the set of traces {〈a, b, d, e,h〉, 〈a, d, c, e, g〉, 〈a, c, d, e, f, b, d, e, g〉, 〈a, d, b, e,h〉, 〈a, c, d, e, f, d, c, e, f, c, d, e,h〉, 〈a, c, d, e, g〉}”
Decision Mining in ProM (2006, methodology): “Process discovery [2,3] can be used to automatically construct a process model reflecting the behavior that has been observed and recorded in the event log.”
Application of Process Mining in Healthcare - A Case Study in a Dutch Hospital (2008, methodology): “An example of a technique addressing the control flow perspective is the α-algorithm [10], which constructs a Petri net model describing the behavior observed in the event log.”
Process mining with the HeuristicsMiner algorithm (2006, background): “the α algorithm [3] these three basic relations (i.”