Business process mining: An industrial application

By Wil M.P. van der Aalst, Hajo Alexander Reijers, A. Weijters, Boudewijn van Dongen, A. A. D. Medeiros, Minseok Song, H. Verbeek. Information Systems, 2007

913 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/804a7f596ad5f04216dcf60aec3c2d548f534edc

How researchers see this paper

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Citations in the corpus

Time prediction based on process mining (2011, methodology): “The work presented in this paper is supported by various plug-ins of our process mining tool ProM [1, 3, 26].”
Process Mining (2016, background): “Process mining, as described in this book, emerged in the last decade [156, 160].”
Application of Process Mining in Healthcare - A Case Study in a Dutch Hospital (2008, neutral): “Process mining has already been successfully applied in the service industry [7].”
Similarity of business process models: Metrics and evaluation (2011, background): “This degree helps to optimize the match between model and log in the area of process mining (see [41], [42]).”
Trace Clustering in Process Mining (2008, background): “, process models) only from event logs [1, 2, 4, 9, 12].”
Process mining: a two-step approach to balance between underfitting and overfitting (2008, methodology): “Since the mid-nineties several groups have been working on techniques for process mining [7,4,8,12,16,20,21,40], i.”
Business process analysis in healthcare environments: A methodology based on process mining (2012, background): “The Role of Process Mining Process mining offers an interesting approach to solve or mitigate the above problems [22].”
Introduction to the Special Issue with Best Papers from BPM 2008 Workshops (2010, neutral): “Having a substantive task repository increases the success of applying statistical process mining methods such as those outlined in [18].”
XES, XESame, and ProM 6 (2010, background): “For a provincial office of Rijkswaterstaat (the Dutch National Public Works Department), we have analyzed [1] its invoice process and have shown that its bad performance was mainly due to employees working at remote sites.”