{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:07:11Z","timestamp":1775912831060,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2022ZD0119501"],"award-info":[{"award-number":["2022ZD0119501"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472264"],"award-info":[{"award-number":["62472264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52374221"],"award-info":[{"award-number":["52374221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Taishan Scholars Program of Shandong Province","award":["ts20190936"],"award-info":[{"award-number":["ts20190936"]}]},{"name":"Taishan Scholars Program of Shandong Province","award":["tsqn201909109"],"award-info":[{"award-number":["tsqn201909109"]}]},{"name":"Natural Science Excellent Youth Foundation of Shandong Province","award":["ZR2021YQ45"],"award-info":[{"award-number":["ZR2021YQ45"]}]},{"name":"Youth Innovation Science and Technology Team Foundation of Shandong Higher School","award":["2021KJ031"],"award-info":[{"award-number":["2021KJ031"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tsc.2025.3562338","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T17:33:50Z","timestamp":1745861630000},"page":"1308-1320","source":"Crossref","is-referenced-by-count":4,"title":["Business Process Remaining Time Prediction Based on Incremental Event Logs"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9462-6589","authenticated-orcid":false,"given":"Na","family":"Guo","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2665-7153","authenticated-orcid":false,"given":"Cong","family":"Liu","sequence":"additional","affiliation":[{"name":"NOVA Information Management School, Nova University of Lisbon, Lisbon, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3438-5303","authenticated-orcid":false,"given":"Qi","family":"Mo","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7098-5480","authenticated-orcid":false,"given":"Chun","family":"Ouyang","sequence":"additional","affiliation":[{"name":"School of Information Systems, Queensland University of Technology, Brisbane, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9844-3330","authenticated-orcid":false,"given":"Xixi","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Information and Computing Sciences, Utrecht University, Utrecht, CS, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6421-8223","authenticated-orcid":false,"given":"Qingtian","family":"Zeng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_64315"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2016.2617331"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-38445-6_9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS49710.2020.00080"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/12460125.2020.1780780"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICPM53251.2021.9576881"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.dss.2017.04.003","article-title":"Predicting process behaviour using deep learning","volume":"100","author":"Evermann","year":"2017","journal-title":"Decis. Support Syst."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06257-0_5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3459648"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2017.2772256"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3301300"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09960-8"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3331449"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38709-8_30"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2010.09.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-45005-1_27"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285184"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124181"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59536-8_30"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26619-6_19"},{"key":"ref21","article-title":"ProcessTransformer: Predictive business process monitoring with transformer network","author":"Bukhsh","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3589883.3589897"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61057-8_8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3353817"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3242378"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2017.10"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CBI49978.2020.00016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-022-01666-9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85469-0_10"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106461"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17604-3_9"},{"key":"ref32","article-title":"word2vec explained: Deriving Mikolov et al. \u2019s negative-sampling word-embedding method","author":"Goldberg","year":"2014"},{"key":"ref33","article-title":"On initializing transformers with pre-trained embeddings","author":"Kim","year":"2024"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-215755"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2019.132306"},{"key":"ref37","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.neucom.2019.11.111","article-title":"Reactive soft prototype computing for concept drift streams","volume":"416","author":"Raab","year":"2020","journal-title":"Neurocomputing"},{"key":"ref39","first-page":"1","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ke"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4629386\/11031152\/10978085.pdf?arnumber=10978085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T17:43:17Z","timestamp":1749750197000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10978085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":39,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2025.3562338","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}