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Process Mining

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Unternehmung 4.0
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Zusammenfassung

Wird das Vorgehen des Data Mining auf Geschäftsprozesse angewendet, so wird es als Process Mining bezeichnet. Im Kapitel werden die Chancen des Process Mining zur kontinuierlichen Analyse und zur graduellen Optimierung Digitaler Geschäftsmodelle und ihrer Prozessausführungen aufgezeigt.

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Literatur

  • Bezerra, F., & Wainer, J. (2013). Algorithms for anomaly detection of traces in logs of process aware information systems. Information Systems, 38(1), 33–44.

    Article  Google Scholar 

  • Burattin, A. (2015). Process mining techniques in business environments: Theoretical aspects, algorithms, techniques and open challenges in process mining. Cham: Springer International Publishing.

    Google Scholar 

  • Ferreira, D. R. (2017). A primer on process mining: Practical skills with python and graphviz. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-56427-2.

    Book  Google Scholar 

  • IEEE Task Force on Process Mining. (2012). Process mining manifesto. http://www.win.tue.nl/ieeetfpm/doku.php?id=shared:process_mining_manifesto. Zugegriffen: 22 May 2018.

  • Linn, C., & Werth, D. (2016). Sequential Anomaly Detection Techniques in Business Processes. In W. Abramowicz, R. Alt, & B. Franczyk (Hrsg.), Business information systems workshops, BIS 2016 international workshops Leipzig, Germany, July 6–8, Revised Papers (S. 196–208).

    Google Scholar 

  • Mans, R. S., van der Aalst, W. M. P., & Vanwersch, R. J. B. (2015). Process mining in healthcare: Evaluating and exploiting operational healthcare processes. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-16071-9.

    Book  Google Scholar 

  • Munoz-Gama, J. (2016). Conformance checking and diagnosis in process mining: Comparing observed and modeled processes. Cham: Springer International Publishing.

    Google Scholar 

  • Nalbach, O., Linn, C., Derouet, M., & Werth, D. (2018). Predictive quality: Towards a new understanding of quality assurance using machine learning tools. In 21th International Conference, BIS 2018 (S. 1–12). Berlin: Springer. (forthcoming).

    Google Scholar 

  • Petermann, F. (2017). Einführung in Celonis Process Mining. www.celonis.com. Zugegriffen: 22 May 2018.

  • Soffer, P., Hinze, A., Koschmider, A., Ziekow, H., Ciccio, C. Di, Koldehofe, B., Kopp, O., Jacobsen, A., Sürmeli, J., & Song, W. (2017). From event streams to process models and back: Challenges and opportunities. Information Systems. https://doi.org/10.1016/j.is.2017.11.002.

    Article  Google Scholar 

  • Software AG. (2017). ARIS – Process Performance Manager (PPM).

    Google Scholar 

  • Turner, C. J., Tiwari, A., Olaiya, R., & Xu, Y. (2012). Process mining: From theory to practice. Business Process Management Journal, 18(3), 493–512.

    Article  Google Scholar 

  • van der Aalst, W. M. P. (2011). Process mining – Data science in action (2. Aufl.). Heidelberg: Springer.

    Google Scholar 

  • van der Aalst, W. M. P., & Weijters, A. J. (2004). Process mining: A research agenda. Computers in Industry, 53(3), 231–244.

    Article  Google Scholar 

  • Willcocks, L., Lacity, M., & Craig, A. (2015). Robotic Process Automation at Xchanging (15/03). Outsourcing Unit Working Research Paper Series. London.

    Google Scholar 

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Correspondence to August-Wilhelm Scheer .

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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Scheer, AW. (2020). Process Mining. In: Unternehmung 4.0. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27694-2_5

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