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References
Acampora G, Vitiello A, Stefano BND, van der Aalst WMP, Günther CW, Verbeek E (2017) IEEE 1849: the XES standard: the second IEEE standard sponsored by IEEE computational intelligence society [society briefs]. IEEE Comp Int Mag 12(2):4–8
Baier T, Mendling J, Weske M (2014) Bridging abstraction layers in process mining. Inf Syst 46:123–139
Bayomie D, Helal IMA, Awad A, Ezat E, ElBastawissi A (2015) Deducing case ids for unlabeled event logs. In: International conference on business process management. Springer, pp 242–254
Daenen K (2017) Path-colored flow diagrams: increasing business process insights by visualizing event logs. In: Proceedings of the 15th international conference on business process management (BPM). LNCS, vol 10445. Springer, pp 94–109
Gulden J (2016) Visually comparing process dynamics with rhythm-eye views. In: Proceedings of the business process management workshops. LNBIP, vol 281. Springer, pp 474–485
Günther CW, van der Aalst WMP (2007) Fuzzy mining – adaptive process simplification based on multi-perspective metrics. In: 5th international conference on business process management (BPM). LNCS, vol 4714. Springer, pp 328–343
Mannhardt F, Tax N (2017) Unsupervised event abstraction using pattern abstraction and local process models. CoRR, abs/1704.03520
Nguyen H, Dumas M, ter Hofstede AHM, Rosa ML, Maggi FM (2016) Business process performance mining with staged process flows. In: Proceedings of the 28th international conference on advanced information systems engineering (CAiSE). LNCS, vol 9694. Springer, pp 167–185
Pentland BT, Recker J, Wyner G (2017) Rediscovering handoffs. Acad Manag Discov 3(3):284–301
Pourmirza S, Dijkman R, Grefen P (2017) Correlation miner: mining business process models and event correlations without case identifiers. Int J Coop Inf Syst 26(2):1742002
Solti AR, Mans RS, van der Aalst WMP, Weske M (2013) Improving documentation by repairing event logs. In: IFIP working conference on the practice of enterprise modeling. Springer, pp 129–144
Song M, van der Aalst WMP (2007) Supporting process mining by showing events at a glance. In: Proceedings of the 17th annual workshop on information technologies and systems (WITS), pp 139–145
Suriadi S, Andrews R, ter Hofstede AHM, Wynn MT (2017) Event log imperfection patterns for process mining: towards a systematic approach to cleaning event logs. Inf Syst 64:132–150
van der Aalst WMP, Song M (2004) Mining social networks: uncovering interaction patterns in business processes. In: Proceedings of the 2nd international conference on business process management (BPM). Lecture notes in computer science, vol 3080. Springer, pp 244–260
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Dumas, M., Mendling, J. (2018). Business Process Event Logs and Visualization. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_86-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_86-1
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Latest
Business Process Event Logs and Visualization- Published:
- 17 May 2022
DOI: https://doi.org/10.1007/978-3-319-63962-8_86-2
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Business Process Event Logs and Visualization- Published:
- 27 March 2018
DOI: https://doi.org/10.1007/978-3-319-63962-8_86-1