{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:06:27Z","timestamp":1774915587432,"version":"3.50.1"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031610561","type":"print"},{"value":"9783031610578","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-61057-8_14","type":"book-chapter","created":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T20:17:29Z","timestamp":1717359449000},"page":"231-247","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["HOEG: A New Approach for Object-Centric Predictive Process Monitoring"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4743-3522","authenticated-orcid":false,"given":"Tim K.","family":"Smit","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9634-5852","authenticated-orcid":false,"given":"Hajo A.","family":"Reijers","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9844-3330","authenticated-orcid":false,"given":"Xixi","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,3]]},"reference":[{"issue":"1\u20134","key":"14_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3233\/FI-2020-1946","volume":"175","author":"WMP van der Aalst","year":"2020","unstructured":"van der Aalst, W.M.P., Berti, A.: Discovering object-centric petri nets. Fundam. Inform. 175(1\u20134), 1\u201340 (2020)","journal-title":"Fundam. Inform."},{"key":"14_CR2","doi-asserted-by":"publisher","unstructured":"Adams, J.N., Park, G., Levich, S., Schuster, D., van der Aalst, W.M.P.: A framework for extracting and encoding features from object-centric event data. In: Troya, J., Medjahed, B., Piattini, M., Yao, L., Fernandez, P., Ruiz-Cortes, A. (eds.) Service-Oriented Computing. ICSOC 2022. LNCS, vol. 13740, pp. 36\u201353. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20984-0_3","DOI":"10.1007\/978-3-031-20984-0_3"},{"key":"14_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: ICPM, pp. 128\u2013135. IEEE (2022)","DOI":"10.1109\/ICPM57379.2022.9980730"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Berti, A., Herforth, J., Qafari, M.S., van\u00a0der Aalst, W.M.P.: Graph-based feature extraction on object-centric event logs. Int. J. Data Sci. Anal. (2023)","DOI":"10.1007\/s41060-023-00428-2"},{"key":"14_CR5","unstructured":"van Dongen, B.F.: Bpi challenge 2017 (2017)"},{"key":"14_CR6","doi-asserted-by":"publisher","unstructured":"Fahland, D.: Process mining over multiple behavioral dimensions with event knowledge graphs. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol.\u00a0448, pp. 274\u2013319. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-08848-3_9","DOI":"10.1007\/978-3-031-08848-3_9"},{"key":"14_CR7","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.eswa.2022.119173","volume":"213","author":"R Galanti","year":"2023","unstructured":"Galanti, R., de Leoni, M., Navarin, N., Marazzi, A.: Object-centric process predictive analytics. Expert Syst. Appl. 213, 119\u2013173 (2023)","journal-title":"Expert Syst. Appl."},{"key":"14_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-030-85082-1_16","volume-title":"New Trends in Database and Information Systems","author":"AF Ghahfarokhi","year":"2021","unstructured":"Ghahfarokhi, A.F., Park, G., Berti, A., van der Aalst, W.M.P.: OCEL: a standard for object-centric event logs. In: Bellatreche, L., et al. (eds.) ADBIS 2021. CCIS, vol. 1450, pp. 169\u2013175. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-85082-1_16"},{"key":"14_CR9","doi-asserted-by":"publisher","unstructured":"Gherissi, W., Haddad, J.E., Grigori, D.: Object-centric predictive process monitoring. In: Troya, J., et al. (eds.) Service-Oriented Computing \u2013 ICSOC 2022 Workshops. ICSOC 2022. LNCS, vol. 13821, pp. 27\u201339. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-26507-5_3","DOI":"10.1007\/978-3-031-26507-5_3"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Morris, C., et al.: Weisfeiler and leman go neural: higher-order graph neural networks. In: AAAI, pp. 4602\u20134609 (2019)","DOI":"10.1609\/aaai.v33i01.33014602"},{"key":"14_CR11","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/978-3-030-98581-3_11","volume-title":"Process Mining Workshops","author":"M Pourbafrani","year":"2022","unstructured":"Pourbafrani, M., Kar, S., Kaiser, S., van der Aalst, W.M.P.: Remaining time prediction for processes with inter-case dynamics. In: Munoz-Gama, J., Lu, X. (eds.) ICPM 2021. LNBIP, vol. 433, pp. 140\u2013153. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-98581-3_11"},{"key":"14_CR12","unstructured":"Rohrer, T., Ghahfarokhi, A.F., Behery, M., Lakemeyer, G., van\u00a0der Aalst, W.M.P.: Predictive object-centric process monitoring. CoRR abs\/2207.10017 (2022)"},{"key":"14_CR13","unstructured":"Smit, T.K.: How object-centric is object-centric predictive process monitoring? (2023). https:\/\/studenttheses.uu.nl\/handle\/20.500.12932\/45369"},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Teinemaa, I., Dumas, M., Rosa, M.L., Maggi, F.M.: Outcome-oriented predictive process monitoring: Review and benchmark. ACM Trans. Knowl. Discov. Data 13(2), 17:1\u201317:57 (2019)","DOI":"10.1145\/3301300"},{"key":"14_CR15","unstructured":"You, J., Ying, Z., Leskovec, J.: Design space for graph neural networks. In: NeurIPS (2020)"}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-61057-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T20:19:48Z","timestamp":1717359588000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-61057-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031610561","9783031610578"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-61057-8_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","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":"3 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"36","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cyprusconferences.org\/caise2024\/#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}