{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T03:30:09Z","timestamp":1782099009292,"version":"3.54.5"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031822247","type":"print"},{"value":"9783031822254","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"vor","delay-in-days":86,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Real-life processes involve interacting business objects of different types. Object-centric event logs capture the execution of activities in such processes. An important step in the analysis of such logs is the identification of sets of objects which characterize an execution of the process, called a case. Given a case notion, visualizations can be constructed to display the relations between the executed activities and the involved business objects. Depending on the utilized case notion, these visualizations can quickly become excessively complex, impeding human analysis, or may oversimplify the underlying process, inducing flawed insights. To combat these issues, new case notions are needed to reduce complexity while representing relevant structures of the underlying business process correctly. In this paper, we propose continuous measures to quantify how correctly an object-centric case notion adheres to a given log and how complex the resulting visualizations are. These measures allow us to conceptualize the search for new object-centric case notions as a joint optimization problem among the two quality dimensions of correctness and simplicity. As a result, we can provide a new case notion that significantly reduces complexity in comparison to existing techniques, while preserving relevant object interactions. To evaluate our approach, we apply it to a range of real-life logs and find that major complexity reductions can be achieved without causing excessive correctness issues.<\/jats:p>","DOI":"10.1007\/978-3-031-82225-4_30","type":"book-chapter","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T03:00:18Z","timestamp":1743303618000},"page":"402-414","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Framework for\u00a0Advanced Case Notions in\u00a0Object-Centric Process Mining"],"prefix":"10.1007","author":[{"given":"Jan Niklas","family":"van Detten","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pol","family":"Schumacher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sander J. J.","family":"Leemans","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","unstructured":"van\u00a0der Aalst, W.M.P.: Object-centric process mining: dealing with divergence and convergence in event data. In: Software Engineering and Formal Methods - 17th International Conference. Lecture Notes in Computer Science, vol. 11724, pp. 3\u201325. Springer (2019). https:\/\/doi.org\/10.1007\/978-3-030-30446-1_1","DOI":"10.1007\/978-3-030-30446-1_1"},{"key":"30_CR2","doi-asserted-by":"publisher","unstructured":"Adams, J.N., van\u00a0der Aalst, W.M.P.: Addressing convergence, divergence, and deficiency issues. In: Business Process Management Workshops - BPM 2023 International Workshops. Lecture Notes in Business Information Processing, vol.\u00a0492, pp. 496\u2013507. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-50974-2_37","DOI":"10.1007\/978-3-031-50974-2_37"},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Adams, J.N., Schuster, D., Schmitz, S., Schuh, G., van\u00a0der Aalst, W.M.P.: Defining cases and variants for object-centric event data. In: 4th International Conference on Process Mining, ICPM 2022, Bolzano, Italy, 23\u201328 October 2022. IEEE (2022)","DOI":"10.1109\/ICPM57379.2022.9980730"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Berti, A., Park, G., Rafiei, M., van\u00a0der Aalst, W.M.P.: An event data extraction approach from SAP ERP for process mining. In: Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven. vol.\u00a0433. Springer (2021)","DOI":"10.1007\/978-3-030-98581-3_19"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Jan Niklas\u00a0van Detten, P.S., Leemans, S.J.: Object synchronizations and specializations with silent objects in object-centric petri nets. BPM, Proceedings (2024)","DOI":"10.1007\/978-3-031-70396-6_4"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-031-16103-2_3","volume-title":"Business Process Management","author":"D Fahland","year":"2022","unstructured":"Fahland, D.: Multi-dimensional process analysis. In: Di Ciccio, C., Dijkman, R., del R\u00edo Ortega, A., Rinderle-Ma, S. (eds.) Business Process Management, pp. 27\u201333. Springer, Cham (2022)"},{"key":"30_CR7","doi-asserted-by":"crossref","unstructured":"Johnson, A., et al.: MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016)","DOI":"10.1038\/sdata.2016.35"},{"key":"30_CR8","unstructured":"Khayatbashi, S., Hartig, O., Jalali, A.: BPI challenge 2015-2019 (OCEL) (2023)"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Khayatbashi, S., Hartig, O., Jalali, A.: Transforming event knowledge graph to object-centric event logs: a comparative study for multi-dimensional process analysis. In: Conceptual Modeling. Springer, Cham (2023)","DOI":"10.1007\/978-3-031-47262-6_12"},{"key":"30_CR10","unstructured":"Koren, I., Adams, N., Berti, A.: OCEL 2.0 resources - www.ocel-standard.org CoRR abs\/2403.01982 (2024)"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Popova, V., Fahland, D., Dumas, M.: Artifact lifecycle discovery. Int. J. Cooperative Inf. 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Springer, Cham (2024)","DOI":"10.1007\/978-3-031-56107-8_33"}],"container-title":["Lecture Notes in Business Information Processing","Process Mining Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82225-4_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:05:23Z","timestamp":1760889923000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82225-4_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031822247","9783031822254"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82225-4_30","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"28 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Process Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lyngby","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpmconference.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}