{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:24:38Z","timestamp":1742959478164,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030854393"},{"type":"electronic","value":"9783030854409"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-85440-9_16","type":"book-chapter","created":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T15:03:36Z","timestamp":1628867016000},"page":"263-279","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Generating High Quality Samples of Process Cases in Internal Audit"],"prefix":"10.1007","author":[{"given":"Yaguang","family":"Sun","sequence":"first","affiliation":[]},{"given":"Lyth","family":"AI-Khazrage","sequence":"additional","affiliation":[]},{"given":"\u00d6mer","family":"\u00d6z\u00fcmerzifon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,14]]},"reference":[{"key":"16_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35302-4","volume-title":"Auditing and GRC Automation in SAP","author":"M Chuprunov","year":"2013","unstructured":"Chuprunov, M.: Auditing and GRC Automation in SAP. Springer, Berlin (2013). https:\/\/doi.org\/10.1007\/978-3-642-35302-4"},{"key":"16_CR2","unstructured":"Seeliger, A., Nolle, T., M\u00fchlh\u00e4user, M.: Process explorer: an interactive visual recommendation system for process mining. In: KDD Workshop on Interactive Data Exploration and Analytics (2018)"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Fricker, R.D.: Sampling methods for web and e-mail surveys. In: Fielding, N., Lee, R.M., Blank G. (eds.) The Sage Handbook of Online Research Methods, pp. 195\u2013216. Los Angeles, CA: Sage (2008)","DOI":"10.4135\/9780857020055.n11"},{"key":"16_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4","volume-title":"Process Mining: Data Science in Action","author":"WMP van der Aalst","year":"2016","unstructured":"van der Aalst, W.M.P.: Process Mining: Data Science in Action. Springer, Berlin (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4"},{"key":"16_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/978-3-030-26619-6_14","volume-title":"Business Process Management","author":"X Lu","year":"2019","unstructured":"Lu, X., Tabatabaei, S.A., Hoogendoorn, M., Reijers, H.A.: Trace clustering on very large event data in healthcare using frequent sequence patterns. In: Hildebrandt, T., van Dongen, B.F., R\u00f6glinger, M., Mendling, J. (eds.) BPM 2019. LNCS, vol. 11675, pp. 198\u2013215. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-26619-6_14"},{"key":"16_CR6","unstructured":"Niwattanakul, S., Singthongchai, J., Naenudorn, E., Wanapu, S.: Using of Jaccard coefficient for keywords similarity. In: Proceedings of the International Multiconference of Engineers and Computer Scientists, vol. 1. pp. 1\u20135 (2013)"},{"key":"16_CR7","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, Amsterdam (August 2000)"},{"key":"16_CR8","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139058452","volume-title":"Mining of Massive Data Sets","author":"A Rajaraman","year":"2011","unstructured":"Rajaraman, A., Ullman, J.: Mining of Massive Data Sets. Cambridge University Press, Cambridge (2011)"},{"key":"16_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-15880-3_18","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"J Carmona","year":"2010","unstructured":"Carmona, J., Cortadella, J.: Process mining meets abstract interpretation. In: Balc\u00e1zar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. LNCS (LNAI), vol. 6321, pp. 184\u2013199. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15880-3_18"},{"key":"16_CR10","unstructured":"Berti, A.: Statistical sampling in process mining discovery. In: The 9th International Conference on Information, Process, and Knowledge Management, pp 41\u201343 (2017)"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Bauer, M., Senderovich, A., Gal, A., Grunske, L., Weidlich, M.: How much event data is enough? a statistical framework for process discovery. In: CAiSE, pp. 239\u2013256 (2018)","DOI":"10.1007\/978-3-319-91563-0_15"},{"issue":"3","key":"16_CR12","doi-asserted-by":"publisher","first-page":"927","DOI":"10.2298\/CSIS200127028S","volume":"17","author":"F Fani Sani","year":"2020","unstructured":"Fani Sani, F., van Zelst, S.J., van der Aalst, W.M.P.: Improving the performance of process discovery algorithms by instance selection. Comput. Sci. Inf. Syst. 17(3), 927\u2013958 (2020)","journal-title":"Comput. Sci. Inf. Syst."},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Fani Sani, F., van Zelst, S.J., van der Aalst, W.M.P.: The impact of biased sampling of event logs on the performance of process discovery. In: Computing (2021)","DOI":"10.1007\/s00607-021-00910-4"},{"key":"16_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/978-3-030-26619-6_13","volume-title":"Business Process Management","author":"M Bauer","year":"2019","unstructured":"Bauer, M., van der Aa, H., Weidlich, M.: Estimating process conformance by trace sampling and result approximation. In: Hildebrandt, T., van Dongen, B.F., R\u00f6glinger, M., Mendling, J. (eds.) BPM 2019. LNCS, vol. 11675, pp. 179\u2013197. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-26619-6_13"}],"container-title":["Lecture Notes in Business Information Processing","Business Process Management Forum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-85440-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,26]],"date-time":"2021-08-26T23:42:10Z","timestamp":1630021330000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-85440-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030854393","9783030854409"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-85440-9_16","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"14 August 2021","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":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bpm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bpm2021.diag.uniroma1.it\/","order":11,"name":"conference_url","label":"Conference URL","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":"92","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":"16","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":"17% - 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":"4","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":"4","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 BPM forum 16 papers were accepted; and for the BPM and RPA Forum 8 papers were accepted from 14 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)"}}]}}