{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T23:25:40Z","timestamp":1790810740991,"version":"4.1.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031703959","type":"print"},{"value":"9783031703966","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\/978-3-031-70396-6_18","type":"book-chapter","created":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T10:01:54Z","timestamp":1725184914000},"page":"309-327","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["xSemAD: Explainable Semantic Anomaly Detection in\u00a0Event Logs Using Sequence-to-Sequence Models"],"prefix":"10.1007","author":[{"given":"Kiran","family":"Busch","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timotheus","family":"Kampik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henrik","family":"Leopold","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,2]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2021.101824","volume":"102","author":"H van der Aa","year":"2021","unstructured":"van der Aa, H., Rebmann, A., Leopold, H.: Natural language-based detection of semantic execution anomalies in event logs. Inf. Syst. 102, 101824 (2021)","journal-title":"Inf. Syst."},{"key":"18_CR2","unstructured":"Bergman, A., Rebmann, A., Kampik, T.: BPMN2constraints: breaking down BPMN diagrams into declarative process query constraints. In: BPM 2023, 21st International Conference on Business Process Management, Utrecht, The Netherlands, 11\u201315 September 2023, pp. 137\u2013141. Aachen University (2023)"},{"key":"18_CR3","unstructured":"Berti, A., Van\u00a0Zelst, S.J., van\u00a0der Aalst, W.: Process Mining for Python (PM4Py): bridging the gap between process-and data science. arXiv preprint arXiv:1905.06169 (2019)"},{"key":"18_CR4","doi-asserted-by":"crossref","unstructured":"Bezerra, F., Wainer, J.: Anomaly detection algorithms in logs of process aware systems. In: Proceedings of the 2008 ACM Symposium on Applied Computing, pp. 951\u2013952 (2008)","DOI":"10.1145\/1363686.1363904"},{"issue":"1","key":"18_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.is.2012.04.004","volume":"38","author":"F Bezerra","year":"2013","unstructured":"Bezerra, F., Wainer, J.: Algorithms for anomaly detection of traces in logs of process aware information systems. Inf. Syst. 38(1), 33\u201344 (2013)","journal-title":"Inf. Syst."},{"key":"18_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1007\/978-3-319-48472-3_5","volume-title":"On the Move to Meaningful Internet Systems: OTM 2016 Conferences","author":"K B\u00f6hmer","year":"2016","unstructured":"B\u00f6hmer, K., Rinderle-Ma, S.: Multi-perspective anomaly detection in\u00a0business process execution events. In: Debruyne, C., et al. (eds.) OTM 2016. LNCS, vol. 10033, pp. 80\u201398. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-48472-3_5"},{"issue":"3","key":"18_CR7","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1016\/j.dss.2012.12.012","volume":"54","author":"F Caron","year":"2013","unstructured":"Caron, F., Vanthienen, J., Baesens, B.: Comprehensive rule-based compliance checking and risk management with process mining. Decis. Support Syst. 54(3), 1357\u20131369 (2013)","journal-title":"Decis. Support Syst."},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-031-41620-0_10","volume-title":"Business Process Management","author":"J Caspary","year":"2023","unstructured":"Caspary, J., Rebmann, A., van der Aa, H.: Does this make sense? Machine learning-based detection of semantic anomalies in business processes. In: Di Francescomarino, C., Burattin, A., Janiesch, C., Sadiq, S. (eds.) BPM 2023. LNCS, vol. 14159, pp. 163\u2013179. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-41620-0_10"},{"key":"18_CR9","unstructured":"Chung, H.W., et al.: Scaling instruction-finetuned language models (2022)"},{"issue":"4","key":"18_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2629447","volume":"5","author":"CD Ciccio","year":"2015","unstructured":"Ciccio, C.D., Mecella, M.: On the discovery of declarative control flows for artful processes. ACM Trans. Manag. Inf. Syst. (TMIS) 5(4), 1\u201337 (2015)","journal-title":"ACM Trans. Manag. Inf. Syst. (TMIS)"},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.is.2015.06.009","volume":"56","author":"C Di Ciccio","year":"2016","unstructured":"Di Ciccio, C., Maggi, F.M., Mendling, J.: Efficient discovery of target-branched declare constraints. Inf. Syst. 56, 258\u2013283 (2016)","journal-title":"Inf. Syst."},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.is.2016.09.005","volume":"64","author":"C Di Ciccio","year":"2017","unstructured":"Di Ciccio, C., Maggi, F.M., Montali, M., Mendling, J.: Resolving inconsistencies and redundancies in declarative process models. Inf. Syst. 64, 425\u2013446 (2017)","journal-title":"Inf. Syst."},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.is.2018.01.011","volume":"78","author":"C Di Ciccio","year":"2018","unstructured":"Di Ciccio, C., Maggi, F.M., Montali, M., Mendling, J.: On the relevance of a business constraint to an event log. Inf. Syst. 78, 144\u2013161 (2018)","journal-title":"Inf. Syst."},{"key":"18_CR14","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-031-08848-3_4","volume-title":"Process Mining Handbook","author":"C Di Ciccio","year":"2022","unstructured":"Di Ciccio, C., Montali, M.: Declarative process specifications: reasoning, discovery, monitoring. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448, pp. 108\u2013152. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-08848-3_4"},{"key":"18_CR15","unstructured":"Donadello, I., Riva, F., Maggi, F.M., Shikhizada, A.: Declare4Py: a Python library for declarative process mining. In: BPM (PhD\/Demos). CEUR Workshop Proceedings, vol.\u00a03216, pp. 117\u2013121. CEUR-WS.org (2022)"},{"key":"18_CR16","doi-asserted-by":"publisher","unstructured":"van Dongen, B.: BPI challenge 2020: international declarations (2020). https:\/\/doi.org\/10.4121\/uuid:2bbf8f6a-fc50-48eb-aa9e-c4ea5ef7e8c5","DOI":"10.4121\/uuid:2bbf8f6a-fc50-48eb-aa9e-c4ea5ef7e8c5"},{"key":"18_CR17","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, 7\u20139 May 2015, Conference Track Proceedings (2015)"},{"key":"18_CR18","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.procs.2021.08.005","volume":"192","author":"P Krajsic","year":"2021","unstructured":"Krajsic, P., Franczyk, B.: Semi-supervised anomaly detection in business process event data using self-attention based classification. Procedia Comput. Sci. 192, 39\u201348 (2021)","journal-title":"Procedia Comput. Sci."},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Kudo, T.: Subword regularization: improving neural network translation models with multiple subword candidates. In: Gurevych, I., Miyao, Y. (eds.) ACL (1), pp. 66\u201375. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-1007"},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Kudo, T., Richardson, J.: SentencePiece: a simple and language independent subword tokenizer and detokenizer for neural text processing. CoRR abs\/1808.06226 (2018)","DOI":"10.18653\/v1\/D18-2012"},{"key":"18_CR21","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (2018)"},{"key":"18_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1007\/978-3-642-31095-9_18","volume-title":"Advanced Information Systems Engineering","author":"FM Maggi","year":"2012","unstructured":"Maggi, F.M., Bose, R.P.J.C., van der Aalst, W.M.P.: Efficient discovery of understandable declarative process models from event logs. In: Ralyt\u00e9, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 270\u2013285. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31095-9_18"},{"key":"18_CR23","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.is.2017.12.002","volume":"74","author":"FM Maggi","year":"2018","unstructured":"Maggi, F.M., Di Ciccio, C., Di Francescomarino, C., Kala, T.: Parallel algorithms for the automated discovery of declarative process models. Inf. Syst. 74, 136\u2013152 (2018)","journal-title":"Inf. Syst."},{"key":"18_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1007\/978-3-642-23059-2_13","volume-title":"Business Process Management","author":"FM Maggi","year":"2011","unstructured":"Maggi, F.M., Montali, M., Westergaard, M., van der Aalst, W.M.P.: Monitoring business constraints with linear temporal logic: an approach based on colored automata. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 132\u2013147. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23059-2_13"},{"key":"18_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49451-7","volume-title":"Conformance Checking and Diagnosis in Process Mining","author":"J Munoz-Gama","year":"2016","unstructured":"Munoz-Gama, J., et al.: Conformance Checking and Diagnosis in Process Mining. Springer, Cham (2016)"},{"key":"18_CR26","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1007\/s10994-018-5702-8","volume":"107","author":"T Nolle","year":"2018","unstructured":"Nolle, T., Luettgen, S., Seeliger, A., M\u00fchlh\u00e4user, M.: Analyzing business process anomalies using autoencoders. Mach. Learn. 107, 1875\u20131893 (2018)","journal-title":"Mach. Learn."},{"key":"18_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/978-3-319-46307-0_28","volume-title":"Discovery Science","author":"T Nolle","year":"2016","unstructured":"Nolle, T., Seeliger, A., M\u00fchlh\u00e4user, M.: Unsupervised anomaly detection in noisy business process event logs using denoising autoencoders. In: Calders, T., Ceci, M., Malerba, D. (eds.) DS 2016. LNCS (LNAI), vol. 9956, pp. 442\u2013456. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46307-0_28"},{"key":"18_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/978-3-319-98648-7_16","volume-title":"Business Process Management","author":"T Nolle","year":"2018","unstructured":"Nolle, T., Seeliger, A., M\u00fchlh\u00e4user, M.: BINet: multivariate business process anomaly detection using deep learning. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 271\u2013287. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-98648-7_16"},{"issue":"1","key":"18_CR29","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.is.2007.07.001","volume":"33","author":"A Rozinat","year":"2008","unstructured":"Rozinat, A., Van der Aalst, W.M.: Conformance checking of processes based on monitoring real behavior. Inf. Syst. 33(1), 64\u201395 (2008)","journal-title":"Inf. Syst."},{"key":"18_CR30","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1007\/978-3-031-27815-0_33","volume-title":"Process Mining Workshops","author":"D Sola","year":"2022","unstructured":"Sola, D., Warmuth, C., Sch\u00e4fer, B., Badakhshan, P., Rehse, J.R., Kampik, T.: SAP Signavio Academic Models: a large process model dataset. In: Montali, M., Senderovich, A., Weidlich, M. (eds.) ICPM 2022. LNBIP, vol. 468, pp. 453\u2013465. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-27815-0_33"},{"key":"18_CR31","doi-asserted-by":"crossref","unstructured":"Warrender, C., Forrest, S., Pearlmutter, B.: Detecting intrusions using system calls: alternative data models. In: Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No. 99CB36344), pp. 133\u2013145. IEEE (1999)","DOI":"10.1109\/SECPRI.1999.766910"},{"key":"18_CR32","unstructured":"Weske, M., Decker, G., Dumas, M., La\u00a0Rosa, M., Mendling, J., Reijers, H.A.: Model collection of the business process management academic initiative (2020). https:\/\/doi.org\/10.5281\/zenodo.3758705"},{"key":"18_CR33","unstructured":"Wolf, T., et al.: HuggingFace\u2019s transformers: state-of-the-art natural language processing. CoRR abs\/1910.03771 (2019)"}],"container-title":["Lecture Notes in Computer Science","Business Process Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70396-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T16:45:21Z","timestamp":1732725921000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70396-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031703959","9783031703966"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70396-6_18","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":"2 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Business Process Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krakow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","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":"1 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bpm2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bpm2024.agh.edu.pl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}