{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T11:54:32Z","timestamp":1770983672242,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Australian Government through Australian Research Council\u2019s Discovery Projects Funding Scheme","award":["DP210103700"],"award-info":[{"award-number":["DP210103700"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3546033","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T19:00:59Z","timestamp":1740596459000},"page":"38035-38053","source":"Crossref","is-referenced-by-count":3,"title":["Performance Analysis: Discovering Semi-Markov Models From Event Logs"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5088-7602","authenticated-orcid":false,"given":"Anna","family":"Kalenkova","sequence":"first","affiliation":[{"name":"Adelaide Data Science Centre (ADSC), School of Computer and Mathematical Sciences, The University of Adelaide, North Terrace Campus, Adelaide, SA, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8191-1997","authenticated-orcid":false,"given":"Lewis","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Adelaide Data Science Centre (ADSC), School of Computer and Mathematical Sciences, The University of Adelaide, North Terrace Campus, Adelaide, SA, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7882-7329","authenticated-orcid":false,"given":"Matthew","family":"Roughan","sequence":"additional","affiliation":[{"name":"Adelaide Data Science Centre (ADSC), School of Computer and Mathematical Sciences, The University of Adelaide, North Terrace Campus, Adelaide, SA, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45005-1_27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2015.04.004"},{"key":"ref4","first-page":"9","article-title":"Enhancing stochastic Petri net-based remaining time prediction using k-nearest neighbors","volume-title":"Proc. CEUR Workshop","volume":"3167","author":"Vandenabeele"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2008.09.002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113284"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2010.09.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13094-6_5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33606-5_18"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06257-0_2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4108\/icst.valuetools.2011.245715"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-15895-2_41"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2016.55"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98648-7_10"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72693-5_20"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-76983-3_16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPM49681.2020.00024"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61057-8_3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61057-8_6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26643-1_8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16171-1_7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49435-3_14"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2023.102197"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2024.102383"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPM57379.2022.9980707"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s12599-024-00868-5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34560-9_11"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98648-7_9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36285-9_23"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12186-9_15"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3202710.3203151"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-79108-7_9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2019.04.004"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2018.04.003"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/math11245001"},{"key":"ref36","article-title":"Semi-Markov multistate modeling approaches for multicohort event history data","author":"Piulachs","year":"2024","journal-title":"arXiv:2402.12027"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1191\/0962280202SM276ra"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxaa030"},{"issue":"4","key":"ref39","first-page":"431","article-title":"Efficient computations for evaluating extended stochastic Petri nets using algebraic operations","volume":"1","author":"Kim","year":"2003","journal-title":"Int. J. Control Autom. Syst."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2008.920865"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85172-9_5"},{"key":"ref42","volume-title":"Introduction To Probability Models","author":"Ross","year":"1985"},{"key":"ref43","volume-title":"Quality Management Systems\u2014Fundamentals and Vocabulary","year":"2005"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-47961-9_37"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3387909"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10270-008-0106-z"},{"key":"ref47","volume-title":"Process mining with the heuristics miner-algorithm","volume":"166","author":"Weijters","year":"2006"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176348252"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1093\/imamat\/12.2.165"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20017"},{"key":"ref51","volume-title":"Introduction To Automata Theory, Languages, and Computation","author":"Hopcroft","year":"2001"},{"key":"ref52","first-page":"13","article-title":"Process mining for Python (PM4Py): Bridging the gap between process- and data science","volume":"2374","author":"Berti","year":"2019","journal-title":"ICPM. Demo Track."},{"key":"ref53","volume-title":"BPI Challenge 2013, Incidents","author":"Steeman","year":"2013"},{"key":"ref54","volume-title":"BPI Challenge 2020: Domestic Declarations","author":"van Dongen","year":"2020"},{"key":"ref55","volume-title":"BPI Challenge 2020: Request for Payment","author":"van Dongen","year":"2020"},{"key":"ref56","first-page":"1183","article-title":"Faster and sample near-optimal algorithms for proper learning mixtures of Gaussians","volume-title":"Proc. 27th Conf. Learn. Theory","volume":"35","author":"Daskalakis"},{"key":"ref57","article-title":"A nearly optimal and agnostic algorithm for properly learning a mixture of K Gaussians, for any constant K","author":"Li","year":"2015","journal-title":"arXiv:1506.01367"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177704864"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10904251.pdf?arnumber=10904251","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T06:04:13Z","timestamp":1741241053000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10904251\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3546033","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}