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Notes
- 1.
PromImport plugin: http://www.promtools.org/promimport/
- 2.
onProm tool: https://onprom.inf.unibz.it/
- 3.
Our tool can be found at https://github.com/IDEA-Research-Group/ELE
- 4.
Disco by Fluxicon: https://fluxicon.com/disco/
References
Banziger, R., Basukoski, A., & Chaussalet, T. (2019). Discovering business processes in CRM systems by leveraging unstructured text data. In Proceedings – HPCC/SmartCity/DSS 2018 (pp. 1571–1577). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00257
Calvanese, D., Kalayci, T. E., Montali, M., & Santoso, A. (2017). OBDA for log extraction in process mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer (pp. 292–345). https://doi.org/10.1007/978-3-319-61033-7_9
Calvanese, D., Montali, M., Syamsiyah, A., & van der Aalst, W. M. P. (2016). Ontology-driven extraction of event logs from relational databases. In Lecture Notes in Business Information Processing (pp. 140–153). Springer. https://doi.org/10.1007/978-3-319-42887-1_12
de Murillas, E. G. L. (2019). Process mining on databases: Extracting event data from real-life data sources. Eindhoven: Technische Universiteit Eindhoven.
de Murillas, E. G. L., van Der Aalst, W. M. P., & Reijers, H. A. (2015). Process mining on databases: Unearthing historical data from redo logs. In Lecture Notes in Computer Science (pp. 367–385). New York: Springer. https://doi.org/10.1007/978-3-319-23063-4_25
Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. (2013). Fundamentals of business process management, fundamentals of business process management. Berlin: Springer. https://doi.org/10.1007/978-3-642-33143-5.
Gómez-López, M. T., Reina Quintero, A. M., Parody Núñez, M. L., Pérez Álvarez, J. M., & Reichert, M. (2018). An architecture for querying business process, business process instances, and business data models. In Lecture Notes in Business Information Processing (pp. 757–769). Springer. https://doi.org/10.1007/978-3-319-74030-0_60
Günther, C. W., & Van Der Aalst, W. M. P. (2006). A generic import framework for process event logs. In Lecture Notes in Computer Science (pp. 81–92). Springer. https://doi.org/10.1007/11837862_10
Gupta, M., & Sureka, A. (2014). Nirikshan: Mining bug report history for discovering process maps, inefficiencies and inconsistencies. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/2590748.2590749
IEEE Computational Intelligence Society. (2016). Standard for eXtensible Event Stream (XES) for achieving interoperability in event logs and event streams. In Proceedings of the IEEE (pp. 1–50). https://doi.org/10.1109/IEEESTD.2016.7740858
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008.
Lira, R., Salas-Morales, J., Leiva, L., de la Fuente, R., Fuentes, R., & Delfino, A., et al. (2019). Tailored process feedback through process mining for surgical procedures in medical training: The central venous catheter case. In Lecture Notes in Business Information Processing (pp. 163–174). Springer. https://doi.org/10.1007/978-3-030-11641-5_13
Rosemann, M., & vom Brocke, J. (2010). The six core elements of business process management. In Handbook on business process management (pp. 105–122). https://doi.org/10.1007/978-3-642-00416-2
Tax, N., Sidorova, N., & van der Aalst, W. M. P. (2019). Discovering more precise process models from event logs by filtering out chaotic activities. Journal of Intelligent Information Systems, 52(1), 107–139. https://doi.org/10.1007/s10844-018-0507-6.
Valencia-Parra, Á., Varela-Vaca, Á. J., López, M. T. G., & Ceravolo, P. (2019). CHAMALEON: Framework to improve Data Wrangling with Complex Data. In ICIS 2019 proceedings. Retrieved November 14, 2019, from https://aisel.aisnet.org/icis2019/data_science/data_science/16
van der Aalst, W. M. P. (2015). Extracting event data from databases to unleash process mining (pp. 105–128). Cham: Springer. https://doi.org/10.1007/978-3-319-14430-6_8.
van der Aalst, W. (2016). Data science in action. In Process mining (pp. 3–23). Berlin: Springer. https://doi.org/10.1007/978-3-662-49851-4_1
Van Der Aalst, W., Weijters, T., & Maruster, L. (2004). Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering, 16(9), 1128–1142. https://doi.org/10.1109/TKDE.2004.47.
Verbeek, H. M. W., Buijs, J. C. A. M., van Dongen, B. F., & van der Aalst, W. M. P. (2011). XES, XESame, and ProM 6. In Lecture notes in business information processing (pp. 60–75). New York: Springer. https://doi.org/10.1007/978-3-642-17722-4_5.
vom Brocke, J., Mendling, J., & Rosemann, M. (2021). Planning and scoping business process management projects and programs with the BPM Billboard. In J. vom Brocke, J. Mendling, & M. Rosemann (Eds.), BPM cases. Digital innovation and business transformation in practice (Vol. 2). New York: Springer.
Acknowledgment
This work was been partially funded by the Ministry of Science and Technology of Spain through ECLIPSE (RTI2018-094283-B-C33), the Junta de Andalucia via the METAMORFOSIS project, and the European Regional Development Fund (ERDF/FEDER). The authors thank the Cátedra de Telefónica “Inteligencia en la Red” of the Universidad de Sevilla for its support.
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Valencia-Parra, Á., Ramos-Gutiérrez, B., Varela-Vaca, Á.J., Gómez-López, M.T., García Bernal, A. (2021). Enabling Process Mining in Airbus Manufacturing. In: vom Brocke, J., Mendling, J., Rosemann, M. (eds) Business Process Management Cases Vol. 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63047-1_10
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