{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T16:46:36Z","timestamp":1776876396619,"version":"3.51.2"},"publisher-location":"Cham","reference-count":6,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031349843","type":"print"},{"value":"9783031349850","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34985-0_6","type":"book-chapter","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T07:03:02Z","timestamp":1686553382000},"page":"50-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Mapping Time-Series Data on\u00a0Process Patterns to\u00a0Generate Synthetic Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8445-8104","authenticated-orcid":false,"given":"Frederik","family":"Fonger","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0472-1262","authenticated-orcid":false,"given":"Milda","family":"Aleknonyt\u0117-Resch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8206-7636","authenticated-orcid":false,"given":"Agnes","family":"Koschmider","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,13]]},"reference":[{"key":"6_CR1","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/978-3-319-19270-3_5","volume-title":"Information Systems Engineering in Complex Environments","author":"R Dunkl","year":"2015","unstructured":"Dunkl, R., Rinderle-Ma, S., Grossmann, W., Anton Fr\u00f6schl, K.: A Method for Analyzing Time Series Data in Process Mining: Application and Extension of Decision Point Analysis. In: Nurcan, S., Pimenidis, E. (eds.) CAiSE 2014. LNBIP, vol. 204, pp. 68\u201384. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19270-3_5"},{"key":"6_CR2","doi-asserted-by":"publisher","unstructured":"van Eck, M.L., Sidorova, N., van der Aalst, W.M.P.: Enabling process mining on sensor data from smart products. In: 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS). pp. 1\u201312. IEEE, Grenoble, France (2016). https:\/\/doi.org\/10.1109\/RCIS.2016.7549355","DOI":"10.1109\/RCIS.2016.7549355"},{"key":"6_CR3","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/978-3-030-79186-5_6","volume-title":"Enterprise, Business-Process and Information Systems Modeling","author":"T Herbert","year":"2021","unstructured":"Herbert, T., Mangler, J., Rinderle-Ma, S.: Generating Reliable Process Event Streams and Time Series Data Based on Neural Networks. In: Augusto, A., Gill, A., Nurcan, S., Reinhartz-Berger, I., Schmidt, R., Zdravkovic, J. (eds.) BPMDS\/EMMSAD -2021. LNBIP, vol. 421, pp. 81\u201395. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-79186-5_6"},{"key":"6_CR4","unstructured":"Russell, N., Hofstede, ter, A., Aalst, van der, W., Mulyar, N.: Workflow control-flow patterns : a revised view. BPMcenter. org (2006). https:\/\/research.tue.nl\/en\/publications\/5312cc11-e11d-466a-b9a4-0bee0fd9d25d"},{"key":"6_CR5","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/978-3-030-63089-8_25","volume-title":"Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2","author":"JJ Vald\u00e9s","year":"2021","unstructured":"Vald\u00e9s, J.J., C\u00e9spedes-Gonz\u00e1lez, Y., Tapping, K., Molero-Castillo, G.: A Process Mining Approach to the Analysis of the Structure of Time Series. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FTC 2020. AISC, vol. 1289, pp. 379\u2013392. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-63089-8_25"},{"key":"6_CR6","doi-asserted-by":"publisher","unstructured":"Zisgen, Y., Janssen, D., Koschmider, A.: Generating Synthetic Sensor Event Logs for Process Mining. In: De Weerdt, J., Polyvyanyy, A. (eds) Intelligent Information Systems. CAiSE 2022. Lecture Notes in Business Information Processing, vol 452. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-031-07481-3_15","DOI":"10.1007\/978-3-031-07481-3_15"}],"container-title":["Lecture Notes in Business Information Processing","Advanced Information Systems Engineering Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34985-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T15:03:03Z","timestamp":1691074983000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34985-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031349843","9783031349850"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34985-0_6","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"13 June 2023","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":"Zaragoza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"161","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.63","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the CAISE 2023 Forum 18 papers have been accepted from a total of 25 submissions. For the CAISE workshops 10 full and 9 short papers have been accepted from 25 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}