{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T18:13:20Z","timestamp":1780596800318,"version":"3.54.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T00:00:00Z","timestamp":1698019200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,23]]},"DOI":"10.1109\/icpm60904.2023.10271985","type":"proceedings-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T18:20:51Z","timestamp":1696875651000},"page":"49-56","source":"Crossref","is-referenced-by-count":7,"title":["SKTR: Trace Recovery from Stochastically Known Logs"],"prefix":"10.1109","author":[{"given":"Eli","family":"Bogdanov","sequence":"first","affiliation":[{"name":"Technion&#x2013;Israel Institute of Technology,Data &#x0026; Decision Sciences,Haifa,Israel,3200003"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Izack","family":"Cohen","sequence":"additional","affiliation":[{"name":"Bar-Ilan University,Faculty of Engineering,Ramat Gan,Israel,5290002"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Avigdor","family":"Gal","sequence":"additional","affiliation":[{"name":"Technion&#x2013;Israel Institute of Technology,Data &#x0026; Decision Sciences,Haifa,Israel,3200003"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2614680"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2023.102223"},{"key":"ref15","first-page":"216","article-title":"Improving process discovery results by filtering outliers using conditional behavioural probabilities","author":"sani","year":"2017","journal-title":"International Conference on Business Process Management"},{"key":"ref14","volume":"78","author":"rogge-solti","year":"2013","journal-title":"Repairing Event Logs Using Stochastic Process Models"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2021.101810"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-76983-3_16"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66498-5_22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-79108-7_14"},{"key":"ref2","first-page":"51","article-title":"Uncertain process data with probabilistic knowledge: Problem characterization and challenges","author":"cohen","year":"2021","journal-title":"Proceedings of the International Workshop Problems21"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSMC.2020.3003135"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113265"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113347"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/a13110285"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPM.2019.00023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-53337-3_6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2022.3222094"},{"key":"ref9","author":"yi","year":"2021","journal-title":"Asformer Transformer for action segmentation"},{"key":"ref4","first-page":"105","article-title":"Conformance checking over stochastically known logs","author":"bogdanov","year":"2022","journal-title":"Business Process Management Forum BPM 2022 Forum"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37453-2_20"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45348-4_11"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103837"}],"event":{"name":"2023 5th International Conference on Process Mining (ICPM)","location":"Rome, Italy","start":{"date-parts":[[2023,10,23]]},"end":{"date-parts":[[2023,10,27]]}},"container-title":["2023 5th International Conference on Process Mining (ICPM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10271932\/10271938\/10271985.pdf?arnumber=10271985","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T18:38:03Z","timestamp":1698691083000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10271985\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,23]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icpm60904.2023.10271985","relation":{},"subject":[],"published":{"date-parts":[[2023,10,23]]}}}