Detecting Weasels at Work: A Theory-Driven Behavioural Process Mining Approach

Author:

Leyer Michael,ter Hofstede Arthur H. M.,Syed Rehan

Publisher

Springer Nature Switzerland

Reference24 articles.

1. van der Aalst, W.M.P.: Process Mining - Data Science in Action, Second Edition. Springer (2016)

2. Adams, M., ter Hofstede, A.H.M., Edmond, D., van der Aalst, W.M.P.: Facilitating flexibility and dynamic exception handling in workflows through worklets. In: Belo, O., Eder, J., Falcão e Cunha, J., Pastor, O. (eds.) The 17th Conference on Advanced Information Systems Engineering (CAiSE 2005), Porto, Portugal, 13–17 June, 2005, CAiSE Forum, Short Paper Proceedings. CEUR Workshop Proceedings, vol. 161. CEUR-WS.org (2005)

3. Aysolmaz, B., Nemeth, M., Iren, D.: A method for objective performance benchmarking of teams with process mining and DEA. In: Rowe, F., et al. (eds.) 29th European Conference on Information Systems - Human Values Crisis in a Digitizing World, ECIS 2021, Marrakech (2021)

4. Badakhshan, P., Wurm, B., Grisold, T., Geyer-Klingeberg, J., Mendling, J., vom Brocke, J.: Creating business value with process mining. J. Strateg. Inf. Syst. 31(4), 101745 (2022)

5. Bergkvist, L.I.: Appropriate use of single-item measures is here to stay. Mark. Lett. 26(3), 245–255 (2015)

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