{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:59:28Z","timestamp":1775199568287,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030332228","type":"print"},{"value":"9783030332235","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33223-5_11","type":"book-chapter","created":{"date-parts":[[2019,10,27]],"date-time":"2019-10-27T20:03:00Z","timestamp":1572206580000},"page":"119-135","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Comprehensive Process Drift Detection with Visual Analytics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5346-8358","authenticated-orcid":false,"given":"Anton","family":"Yeshchenko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5570-0475","authenticated-orcid":false,"given":"Claudio","family":"Di Ciccio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7260-524X","authenticated-orcid":false,"given":"Jan","family":"Mendling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7672-1643","authenticated-orcid":false,"given":"Artem","family":"Polyvyanyy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,15]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4","volume-title":"Process Mining - Data Science in Action","author":"WMP Aalst van der","year":"2016","unstructured":"van der Aalst, W.M.P.: Process Mining - Data Science in Action. Springer, Heidelberg (2016). \n                      https:\/\/doi.org\/10.1007\/978-3-662-49851-4"},{"issue":"2","key":"11_CR2","first-page":"99","volume":"23","author":"WMP Aalst van der","year":"2009","unstructured":"van der Aalst, W.M.P., Pesic, M., Schonenberg, H.: Declarative workflows: balancing between flexibility and support. CS - R&D 23(2), 99\u2013113 (2009)","journal-title":"CS - R&D"},{"issue":"2","key":"11_CR3","first-page":"378","volume":"33","author":"A Abanda","year":"2019","unstructured":"Abanda, A., Mori, U., Lozano, J.A.: A review on distance based time series classification. DMKD 33(2), 378\u2013412 (2019)","journal-title":"DMKD"},{"issue":"C","key":"11_CR4","first-page":"16","volume":"53","author":"S Aghabozorgi","year":"2015","unstructured":"Aghabozorgi, S., Seyed Shirkhorshidi, A., Ying Wah, T.: Time-series clustering - a decade review. IS 53(C), 16\u201338 (2015)","journal-title":"IS"},{"key":"11_CR5","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"},{"key":"11_CR6","unstructured":"Truonga, C., Oudre, L., Vayatis, N.: Selective review of offline change point detection methods (2019). \n                      arxiv:1801.00718"},{"key":"11_CR7","unstructured":"Denisov, V., Belkina, E., Fahland, D.: BPIC 2018: Mining Concept Drift in Performance Spectra of Processes (2018)"},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.is.2015.06.009","volume":"56","author":"C Ciccio Di","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":"11_CR9","first-page":"425","volume":"64","author":"C Ciccio Di","year":"2017","unstructured":"Di Ciccio, C., Maggi, F.M., Montali, M., Mendling, J.: Resolving inconsistencies and redundancies in declarative process models. IS 64, 425\u2013446 (2017)","journal-title":"IS"},{"issue":"4","key":"11_CR10","first-page":"24:1","volume":"5","author":"C Ciccio Di","year":"2015","unstructured":"Di Ciccio, C., Mecella, M.: On the discovery of declarative control flows for artful processes. ACM TMIS 5(4), 24:1\u201324:37 (2015)","journal-title":"ACM TMIS"},{"issue":"4","key":"11_CR11","doi-asserted-by":"publisher","first-page":"44:1","DOI":"10.1145\/2523813","volume":"46","author":"J Gama","year":"2014","unstructured":"Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M., Bouchachia, A.: A survey on concept drift adaptation. ACM Comput. Surv. 46(4), 44:1\u201344:37 (2014)","journal-title":"ACM Comput. Surv."},{"key":"11_CR12","first-page":"95","volume":"2015","author":"B Hompes","year":"2015","unstructured":"Hompes, B., Buijs, J.C.A.M., van der Aalst, W.M.P., Dixit, P., Buurman, H.: Detecting change in processes using comparative trace clustering. SIMPDA 2015, 95\u2013108 (2015)","journal-title":"SIMPDA"},{"issue":"500","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1590","DOI":"10.1080\/01621459.2012.737745","volume":"107","author":"R Killick","year":"2012","unstructured":"Killick, R., Fearnhead, P., Eckley, I.A.: Optimal detection of changepoints with a linear computational cost. J. Am. Stat. Assoc. 107(500), 1590\u20131598 (2012)","journal-title":"J. Am. Stat. Assoc."},{"issue":"10","key":"11_CR14","first-page":"2140","volume":"29","author":"A Maaradji","year":"2017","unstructured":"Maaradji, A., Dumas, M., La Rosa, M., Ostovar, A.: Detecting sudden and gradual drifts in business processes from execution traces. IEEE TKDE 29(10), 2140\u20132154 (2017)","journal-title":"IEEE TKDE"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Maggi, F.M., Mooij, A.J., van der Aalst, W.M.P.: User-guided discovery of declarative process models. In: CIDM, pp. 192\u2013199. IEEE (2011)","DOI":"10.1109\/CIDM.2011.5949297"},{"issue":"4","key":"11_CR16","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/s00607-015-0441-1","volume":"98","author":"F Mannhardt","year":"2016","unstructured":"Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P.: Balanced multi-perspective checking of process conformance. Computing 98(4), 407\u2013437 (2016)","journal-title":"Computing"},{"key":"11_CR17","unstructured":"Ostovar, A., Leemans, S.J., La Rosa, M.: Robust drift characterization from event streams of business processes (2018). \n                      https:\/\/eprints.qut.edu.au\/121158\/"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Ostovar, A., Maaradji, A., La Rosa, M., ter Hofstede, A.H.M., van Dongen, B.F.: Detecting drift from event streams of unpredictable business processes. In: ER, pp. 330\u2013346 (2016)","DOI":"10.1007\/978-3-319-46397-1_26"},{"key":"11_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1007\/978-3-319-98648-7_29","volume-title":"Business Process Management","author":"R Poll","year":"2018","unstructured":"Poll, R., Polyvyanyy, A., Rosemann, M., R\u00f6glinger, M., Rupprecht, L.: Process forecasting: towards proactive business process management. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds.) BPM 2018. LNCS, vol. 11080, pp. 496\u2013512. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-98648-7_29"},{"issue":"4","key":"11_CR20","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1007\/s00165-016-0372-4","volume":"28","author":"A Polyvyanyy","year":"2016","unstructured":"Polyvyanyy, A., Armas-Cervantes, A., Dumas, M., Garc\u00eda-Ba\u00f1uelos, L.: On the expressive power of behavioral profiles. Formal Asp. Comput. 28(4), 597\u2013613 (2016)","journal-title":"Formal Asp. Comput."},{"key":"11_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-319-07734-5_12","volume-title":"Application and Theory of Petri Nets and Concurrency","author":"A Polyvyanyy","year":"2014","unstructured":"Polyvyanyy, A., Weidlich, M., Conforti, R., La Rosa, M., ter Hofstede, A.H.M.: The 4C spectrum of fundamental behavioral relations for concurrent systems. In: Ciardo, G., Kindler, E. (eds.) PETRI NETS 2014. LNCS, vol. 8489, pp. 210\u2013232. Springer, Cham (2014). \n                      https:\/\/doi.org\/10.1007\/978-3-319-07734-5_12"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Seeliger, A., Nolle, T., M\u00fchlh\u00e4user, M.: Detecting concept drift in processes using graph metrics on process graphs. In: S-BPM, p. 6 (2017)","DOI":"10.1145\/3040565.3040566"},{"issue":"2","key":"11_CR23","first-page":"58","volume":"106","author":"A Tsymbal","year":"2004","unstructured":"Tsymbal, A.: The problem of concept drift: definitions and related work. Comput. Sci. Depart. Trinity College Dublin 106(2), 58 (2004)","journal-title":"Comput. Sci. Depart. Trinity College Dublin"},{"issue":"9","key":"11_CR24","first-page":"1128","volume":"16","author":"W Aalst van der","year":"2004","unstructured":"van der Aalst, W., Weijters, T., Maruster, L.: Workflow mining: discovering process models from event logs. TKDE 16(9), 1128\u20131142 (2004)","journal-title":"TKDE"},{"key":"11_CR25","volume-title":"Information visualization: perception for design","author":"C Ware","year":"2012","unstructured":"Ware, C.: Information visualization: perception for design. Elsevier, Amsterdam (2012)"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Zheng, C., Wen, L., Wang, J.: Detecting process concept drifts from event logs. In: OTM CoopIS, pp. 524\u2013542 (2017)","DOI":"10.1007\/978-3-319-69462-7_33"}],"container-title":["Lecture Notes in Computer Science","Conceptual Modeling"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33223-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,27]],"date-time":"2019-10-27T20:13:11Z","timestamp":1572207191000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-33223-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030332228","9783030332235"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33223-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"15 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salvador","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"38","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"er2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.inf.ufrgs.br\/er2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}