{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:40:45Z","timestamp":1743039645448,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662630464"},{"type":"electronic","value":"9783662630471"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-662-63047-1_10","type":"book-chapter","created":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T12:03:07Z","timestamp":1628078587000},"page":"125-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enabling Process Mining in Airbus Manufacturing"],"prefix":"10.1007","author":[{"given":"\u00c1lvaro","family":"Valencia-Parra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bel\u00e9n","family":"Ramos-Guti\u00e9rrez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel Jes\u00fas","family":"Varela-Vaca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda Teresa","family":"G\u00f3mez-L\u00f3pez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Garc\u00eda Bernal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,5]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","unstructured":"Banziger, R., Basukoski, A., & Chaussalet, T. (2019). Discovering business processes in CRM systems by leveraging unstructured text data. In Proceedings \u2013 HPCC\/SmartCity\/DSS 2018 (pp. 1571\u20131577). Institute of Electrical and Electronics Engineers Inc. https:\/\/doi.org\/10.1109\/HPCC\/SmartCity\/DSS.2018.00257","DOI":"10.1109\/HPCC\/SmartCity\/DSS.2018.00257"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"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\u2013345). https:\/\/doi.org\/10.1007\/978-3-319-61033-7_9","DOI":"10.1007\/978-3-319-61033-7_9"},{"key":"10_CR3","doi-asserted-by":"publisher","unstructured":"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\u2013153). Springer. https:\/\/doi.org\/10.1007\/978-3-319-42887-1_12","DOI":"10.1007\/978-3-319-42887-1_12"},{"key":"10_CR4","volume-title":"Process mining on databases: Extracting event data from real-life data sources","author":"EGL de Murillas","year":"2019","unstructured":"de Murillas, E. G. L. (2019). Process mining on databases: Extracting event data from real-life data sources. Eindhoven: Technische Universiteit Eindhoven."},{"key":"10_CR5","doi-asserted-by":"publisher","unstructured":"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\u2013385). New York: Springer. https:\/\/doi.org\/10.1007\/978-3-319-23063-4_25","DOI":"10.1007\/978-3-319-23063-4_25"},{"key":"10_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33143-5","volume-title":"Fundamentals of business process management, fundamentals of business process management","author":"M Dumas","year":"2013","unstructured":"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."},{"key":"10_CR7","doi-asserted-by":"publisher","unstructured":"G\u00f3mez-L\u00f3pez, M. T., Reina Quintero, A. M., Parody N\u00fa\u00f1ez, M. L., P\u00e9rez \u00c1lvarez, 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\u2013769). Springer. https:\/\/doi.org\/10.1007\/978-3-319-74030-0_60","DOI":"10.1007\/978-3-319-74030-0_60"},{"key":"10_CR9","doi-asserted-by":"publisher","unstructured":"G\u00fcnther, 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\u201392). Springer. https:\/\/doi.org\/10.1007\/11837862_10","DOI":"10.1007\/11837862_10"},{"key":"10_CR10","doi-asserted-by":"publisher","unstructured":"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","DOI":"10.1145\/2590748.2590749"},{"key":"10_CR11","doi-asserted-by":"publisher","unstructured":"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\u201350). https:\/\/doi.org\/10.1109\/IEEESTD.2016.7740858","DOI":"10.1109\/IEEESTD.2016.7740858"},{"issue":"4","key":"10_CR12","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.bushor.2015.03.008","volume":"58","author":"I Lee","year":"2015","unstructured":"Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431\u2013440. https:\/\/doi.org\/10.1016\/j.bushor.2015.03.008.","journal-title":"Business Horizons"},{"key":"10_CR13","doi-asserted-by":"publisher","unstructured":"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\u2013174). Springer. https:\/\/doi.org\/10.1007\/978-3-030-11641-5_13","DOI":"10.1007\/978-3-030-11641-5_13"},{"key":"10_CR14","doi-asserted-by":"publisher","unstructured":"Rosemann, M., & vom Brocke, J. (2010). The six core elements of business process management. In Handbook on business process management (pp. 105\u2013122). https:\/\/doi.org\/10.1007\/978-3-642-00416-2","DOI":"10.1007\/978-3-642-00416-2"},{"issue":"1","key":"10_CR15","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10844-018-0507-6","volume":"52","author":"N Tax","year":"2019","unstructured":"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\u2013139. https:\/\/doi.org\/10.1007\/s10844-018-0507-6.","journal-title":"Journal of Intelligent Information Systems"},{"key":"10_CR16","unstructured":"Valencia-Parra, \u00c1., Varela-Vaca, \u00c1. J., L\u00f3pez, 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"},{"key":"10_CR17","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/978-3-319-14430-6_8","volume-title":"Extracting event data from databases to unleash process mining","author":"WMP van der Aalst","year":"2015","unstructured":"van der Aalst, W. M. P. (2015). Extracting event data from databases to unleash process mining (pp. 105\u2013128). Cham: Springer. https:\/\/doi.org\/10.1007\/978-3-319-14430-6_8."},{"key":"10_CR18","doi-asserted-by":"publisher","unstructured":"van der Aalst, W. (2016). Data science in action. In Process mining (pp. 3\u201323). Berlin: Springer. https:\/\/doi.org\/10.1007\/978-3-662-49851-4_1","DOI":"10.1007\/978-3-662-49851-4_1"},{"issue":"9","key":"10_CR19","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1109\/TKDE.2004.47","volume":"16","author":"W Van Der Aalst","year":"2004","unstructured":"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\u20131142. https:\/\/doi.org\/10.1109\/TKDE.2004.47.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10_CR20","doi-asserted-by":"publisher","unstructured":"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\u201375). New York: Springer. https:\/\/doi.org\/10.1007\/978-3-642-17722-4_5.","DOI":"10.1007\/978-3-642-17722-4_5"},{"key":"10_CR21","volume-title":"BPM cases. Digital innovation and business transformation in practice","author":"J vom Brocke","year":"2021","unstructured":"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."}],"container-title":["Business Process Management Cases Vol. 2"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-63047-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T12:23:55Z","timestamp":1628079835000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-63047-1_10"}},"subtitle":["Extracting Event Logs and Discovering Processes from Complex Data"],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783662630464","9783662630471"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-63047-1_10","relation":{},"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}