{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T19:32:10Z","timestamp":1743017530065,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031074745"},{"type":"electronic","value":"9783031074752"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-07475-2_8","type":"book-chapter","created":{"date-parts":[[2022,5,29]],"date-time":"2022-05-29T19:02:13Z","timestamp":1653850933000},"page":"108-122","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detecting Context Activities in\u00a0Event Logs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9002-8650","authenticated-orcid":false,"given":"Yang","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1068-6408","authenticated-orcid":false,"given":"Qifan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2726-9109","authenticated-orcid":false,"given":"Simon K.","family":"Poon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,30]]},"reference":[{"issue":"9","key":"8_CR1","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.: Workflow mining: discovering process models from event logs. IEEE Trans. Knowl. Data Eng. 16(9), 1128\u20131142 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"8_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4","volume-title":"Process Mining: Data Science in Action","author":"WM Van der Aalst","year":"2016","unstructured":"Van der Aalst, W.M.: Process Mining: Data Science in Action. Springer, Heidelberg (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Van der Aalst, W.: On the representational bias in process mining. In: 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 2\u20137 (2011). https:\/\/doi.org\/10.1109\/WETICE.2011.64","DOI":"10.1109\/WETICE.2011.64"},{"issue":"4","key":"8_CR4","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1109\/TKDE.2018.2841877","volume":"31","author":"A Augusto","year":"2019","unstructured":"Augusto, A., et al.: Automated discovery of process models from event logs: review and benchmark. IEEE Trans. Knowl. Data Eng. 31(4), 686\u2013705 (2019). https:\/\/doi.org\/10.1109\/TKDE.2018.2841877","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"8_CR5","unstructured":"Berti, A., Van Zelst, S.J., van der Aalst, W.: Process mining for python (PM4Py): bridging the gap between process-and data science. arXiv preprint arXiv:1905.06169 (2019)"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Breunig, M.M., Kriegel, H.P., Ng, R.T., Sander, J.: LOF: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data - SIGMOD 2000, Dallas, Texas, United States, pp. 93\u2013104. ACM Press (2000). https:\/\/doi.org\/10.1145\/342009.335388","DOI":"10.1145\/342009.335388"},{"key":"8_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/978-3-319-98648-7_18","volume-title":"Business Process Management","author":"P De Koninck","year":"2018","unstructured":"De Koninck, P., vanden Broucke, S., De Weerdt, J.: act2vec, trace2vec, log2vec, and\u00a0model2vec: representation learning for business processes. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 305\u2013321. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98648-7_18"},{"key":"8_CR8","unstructured":"De Medeiros, A.A., van Dongen, B.F., Van der Aalst, W.M., Weijters, A.: Process mining: extending the $$\\alpha $$-algorithm to mine short loops (2004)"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Dees, M., Hompes, B., van der Aalst, W.M.: Events put into context (EPiC). In: 2020 2nd International Conference on Process Mining (ICPM), pp. 65\u201372. IEEE (2020)","DOI":"10.1109\/ICPM49681.2020.00020"},{"key":"8_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33143-5","volume-title":"Fundamentals of Business Process Management","author":"M Dumas","year":"2013","unstructured":"Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A., et al.: Fundamentals of Business Process Management, vol. 1. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-33143-5"},{"key":"8_CR11","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, vol. 96, pp. 226\u2013231 (1996)"},{"key":"8_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-319-23063-4_7","volume-title":"Business Process Management","author":"Q Guo","year":"2015","unstructured":"Guo, Q., Wen, L., Wang, J., Yan, Z., Yu, P.S.: Mining invisible tasks in non-free-choice constructs. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 109\u2013125. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23063-4_7"},{"key":"8_CR13","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Xing, E.P., Jebara, T. (eds.) Proceedings of the 31st International Conference on Machine Learning. Proceedings of Machine Learning Research, Bejing, China, vol. 32, pp. 1188\u20131196. PMLR (2014)"},{"key":"8_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-319-69462-7_8","volume-title":"On the Move to Meaningful Internet Systems. OTM 2017 Conferences","author":"M Leemans","year":"2017","unstructured":"Leemans, M., van der Aalst, W.M.P.: Modeling and discovering cancelation behavior. In: Panetto, H., et al. (eds.) OTM 2017. LNCS, vol. 10573, pp. 93\u2013113. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69462-7_8"},{"key":"8_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-642-38697-8_17","volume-title":"Application and Theory of Petri Nets and Concurrency","author":"SJJ Leemans","year":"2013","unstructured":"Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from event logs - a constructive approach. In: Colom, J.-M., Desel, J. (eds.) PETRI NETS 2013. LNCS, vol. 7927, pp. 311\u2013329. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38697-8_17"},{"key":"8_CR16","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-319-06257-0_6","volume-title":"Business Process Management Workshops","author":"SJJ Leemans","year":"2014","unstructured":"Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from event logs containing infrequent behaviour. In: Lohmann, N., Song, M., Wohed, P. (eds.) BPM 2013. LNBIP, vol. 171, pp. 66\u201378. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-06257-0_6"},{"key":"8_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1007\/978-3-319-45348-4_6","volume-title":"Business Process Management","author":"X Lu","year":"2016","unstructured":"Lu, X., Fahland, D., van den Biggelaar, F.J.H.M., van der Aalst, W.M.P.: Handling duplicated tasks in process discovery by refining event labels. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 90\u2013107. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45348-4_6"},{"key":"8_CR18","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-3-030-72693-5_5","volume-title":"Process Mining Workshops","author":"Y Lu","year":"2021","unstructured":"Lu, Y., Chen, Q., Poon, S.: A novel approach to discover switch behaviours in process mining. In: Leemans, S., Leopold, H. (eds.) ICPM 2020. LNBIP, vol. 406, pp. 57\u201368. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-72693-5_5"},{"key":"8_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/978-3-319-69462-7_13","volume-title":"On the Move to Meaningful Internet Systems. OTM 2017 Conferences","author":"S Mandal","year":"2017","unstructured":"Mandal, S., Hewelt, M., Weske, M.: A framework for integrating real-world events and business processes in an IoT environment. In: Panetto, H., et al. (eds.) OTM 2017. LNCS, vol. 10573, pp. 194\u2013212. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69462-7_13"},{"issue":"22","key":"8_CR20","doi-asserted-by":"publisher","first-page":"10556","DOI":"10.3390\/app112210556","volume":"11","author":"HM Marin-Castro","year":"2021","unstructured":"Marin-Castro, H.M., Tello-Leal, E.: Event log preprocessing for process mining: a review. Appl. Sci. 11(22), 10556 (2021). https:\/\/doi.org\/10.3390\/app112210556","journal-title":"Appl. Sci."},{"issue":"1","key":"8_CR21","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10844-018-0507-6","volume":"52","author":"N Tax","year":"2018","unstructured":"Tax, N., Sidorova, N., van der Aalst, W.M.P.: Discovering more precise process models from event logs by filtering out chaotic activities. J. Intell. Inf. Syst. 52(1), 107\u2013139 (2018). https:\/\/doi.org\/10.1007\/s10844-018-0507-6","journal-title":"J. Intell. Inf. Syst."},{"issue":"10","key":"8_CR22","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1016\/j.datak.2010.06.001","volume":"69","author":"L Wen","year":"2010","unstructured":"Wen, L., Wang, J., van der Aalst, W.M., Huang, B., Sun, J.: Mining process models with prime invisible tasks. Data Knowl. Eng. 69(10), 999\u20131021 (2010)","journal-title":"Data Knowl. Eng."},{"key":"8_CR23","doi-asserted-by":"publisher","unstructured":"Zandkarimi, F., Rehse, J.R., Soudmand, P., Hoehle, H.: A generic framework for trace clustering in process mining. In: 2020 2nd International Conference on Process Mining (ICPM), pp. 177\u2013184 (2020). https:\/\/doi.org\/10.1109\/ICPM49681.2020.00034","DOI":"10.1109\/ICPM49681.2020.00034"}],"container-title":["Lecture Notes in Business Information Processing","Enterprise, Business-Process and Information Systems Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07475-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,29]],"date-time":"2022-05-29T23:12:04Z","timestamp":1653865924000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07475-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031074745","9783031074752"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07475-2_8","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"30 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BPMDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Business Process Modeling, Development and Support","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leuven","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bpmds2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.bpmds.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}