{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T17:01:30Z","timestamp":1790269290981,"version":"4.1.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030212896","type":"print"},{"value":"9783030212902","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":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-21290-2_36","type":"book-chapter","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T21:39:12Z","timestamp":1559079552000},"page":"579-594","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Efficient Discovery of Compact Maximal Behavioral Patterns from Event Logs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9649-7127","authenticated-orcid":false,"given":"Mehdi","family":"Acheli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniela","family":"Grigori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Weidlich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,5,29]]},"reference":[{"key":"36_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-49851-4","volume-title":"Process Mining: Data Science in Action","author":"W Van der Aalst","year":"2016","unstructured":"Van der Aalst, W.: Process Mining: Data Science in Action. Springer, Berlin (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4"},{"key":"36_CR2","unstructured":"Adriansyah, A.: Aligning observed and modeled behavior. Ph.D. thesis (2014)"},{"key":"36_CR3","unstructured":"Augusto, A., et al.: Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)"},{"key":"36_CR4","doi-asserted-by":"crossref","unstructured":"Bose, R.P.J.C., van der Aalst, W.M.: Context aware trace clustering: towards improving process mining results. In: 2009 SIAM International Conference on Data Mining (2009)","DOI":"10.1137\/1.9781611972795.35"},{"key":"36_CR5","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1007\/978-3-642-12186-9_16","volume-title":"Business Process Management Workshops","author":"RPJC Bose","year":"2010","unstructured":"Bose, R.P.J.C., van der Aalst, W.M.P.: Trace clustering based on conserved patterns: towards achieving better process models. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009. LNBIP, vol. 43, pp. 170\u2013181. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-12186-9_16"},{"key":"36_CR6","first-page":"109","volume":"100","author":"SK vanden Broucke","year":"2017","unstructured":"vanden Broucke, S.K., De Weerdt, J.: Decis. Support Syst. Fodina: a robust and flexible heuristic process discovery technique 100, 109\u2013118 (2017)","journal-title":"Fodina: a robust and flexible heuristic process discovery technique"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Buijs, J.C., Van Dongen, B.F., Van Der Aalst, W.M.: A genetic algorithm for discovering process trees. In: CEC 2012, June, pp. 1\u20138. IEEE (2012)","DOI":"10.1109\/CEC.2012.6256458"},{"key":"36_CR8","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.is.2015.07.004","volume":"56","author":"R Conforti","year":"2016","unstructured":"Conforti, R., Dumas, M., Garc\u00eda-Ba\u00f1uelos, L., La Rosa, M.: BPMN miner: automated discovery of BPMN process models with hierarchical structure. Inf. Syst. 56, 284\u2013303 (2016)","journal-title":"Inf. Syst."},{"key":"36_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/11494744_25","volume-title":"Applications and Theory of Petri Nets 2005","author":"BF van Dongen","year":"2005","unstructured":"van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The ProM framework: a new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444\u2013454. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11494744_25"},{"issue":"1","key":"36_CR10","first-page":"54","volume":"1","author":"P Fournier-Viger","year":"2017","unstructured":"Fournier-Viger, P., Chun, J., Lin, W., Kiran, R.U., Koh, Y.S., Thomas, R.: A survey of sequential pattern mining. Ubiquit. Int. 1(1), 54\u201377 (2017)","journal-title":"Ubiquit. Int."},{"key":"36_CR11","first-page":"1010","volume":"18","author":"G Greco","year":"2006","unstructured":"Greco, G., Guzzo, A., Pontieri, L., Sacc\u00e0, D.: Discovering expressive process models by clustering log traces. IEEE TKDE 18, 1010\u20131027 (2006)","journal-title":"IEEE TKDE"},{"key":"36_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1007\/978-3-540-75183-0_24","volume-title":"Business Process Management","author":"CW G\u00fcnther","year":"2007","unstructured":"G\u00fcnther, C.W., van der Aalst, W.M.P.: Fuzzy mining \u2013 adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328\u2013343. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-75183-0_24"},{"key":"36_CR13","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-27243-6_1","volume-title":"Data-Driven Process Discovery and Analysis","author":"M Leemans","year":"2015","unstructured":"Leemans, M., van der Aalst, W.M.P.: Discovery of frequent episodes in event logs. In: Ceravolo, P., Russo, B., Accorsi, R. (eds.) SIMPDA 2014. LNBIP, vol. 237, pp. 1\u201331. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-27243-6_1"},{"key":"36_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-642-38697-8_17","volume-title":"Application and Theory of Petri Nets and Concurrency","author":"SJJ Leemans","year":"2013","unstructured":"Leemans, S.J.J., Fahland, D., van der Aalst, W.M.P.: Discovering block-structured process models from event logs - a constructive approach. In: Colom, J.-M., Desel, J. (eds.) PETRI NETS 2013. LNCS, vol. 7927, pp. 311\u2013329. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38697-8_17"},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"Maggi, F.M., Mooij, A.J., Van Der Aalst, W.M.: User-guided discovery of declarative process models. In: CIDM 2011, April, pp. 192\u2013199. IEEE (2011)","DOI":"10.1109\/CIDM.2011.5949297"},{"key":"36_CR16","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1109\/TKDE.2004.77","volume":"16","author":"J Pei","year":"2004","unstructured":"Pei, J., et al.: Mining sequential patterns by pattern-growth: the PrefixSpan approach. IEEE Trans. Knowl. Data Eng. 16, 1424\u20131440 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"36_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-65000-5_1","volume-title":"Business Process Management","author":"A Senderovich","year":"2017","unstructured":"Senderovich, A., Weidlich, M., Gal, A.: Temporal network representation of event logs for improved performance modelling in business processes. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 3\u201321. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-65000-5_1"},{"key":"36_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1007\/978-3-642-13675-7_14","volume-title":"Applications and Theory of Petri Nets","author":"M Sol\u00e9","year":"2010","unstructured":"Sol\u00e9, M., Carmona, J.: Process mining from a basis of state regions. In: Lilius, J., Penczek, W. (eds.) PETRI NETS 2010. LNCS, vol. 6128, pp. 226\u2013245. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13675-7_14"},{"key":"36_CR19","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-642-00328-8_11","volume-title":"Business Process Management Workshops","author":"M Song","year":"2009","unstructured":"Song, M., G\u00fcnther, C.W., van der Aalst, W.M.P.: Trace clustering in process mining. In: Ardagna, D., Mecella, M., Yang, J. (eds.) BPM 2008. LNBIP, vol. 17, pp. 109\u2013120. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-00328-8_11"},{"key":"36_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BFb0014140","volume-title":"Advances in Database Technology \u2014 EDBT \u201996","author":"R Srikant","year":"1996","unstructured":"Srikant, R., Agrawal, R.: Mining sequential patterns: generalizations and performance improvements. In: Apers, P., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 1\u201317. Springer, Heidelberg (1996). https:\/\/doi.org\/10.1007\/BFb0014140"},{"key":"36_CR21","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.is.2018.04.006","volume":"77","author":"N Tax","year":"2018","unstructured":"Tax, N., Dalmas, B., Sidorova, N., van der Aalst, W.M., Norre, S.: Interest-driven discovery of local process models. Inf. Syst. 77, 105\u2013117 (2018)","journal-title":"Inf. Syst."},{"issue":"2","key":"36_CR22","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.jides.2016.11.001","volume":"3","author":"N Tax","year":"2016","unstructured":"Tax, N., Sidorova, N., Haakma, R., van der Aalst, W.M.: Mining local process models. J. Innov. Digit. Ecosyst. 3(2), 183\u2013196 (2016)","journal-title":"J. Innov. Digit. Ecosyst."},{"key":"36_CR23","doi-asserted-by":"crossref","unstructured":"Weijters, A.J.M.M., Ribeiro, J.T.S.: Flexible heuristics miner (FHM). In: CIDM 2011, pp. 310\u2013317 (2011)","DOI":"10.1109\/CIDM.2011.5949453"},{"key":"36_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-319-23063-4_10","volume-title":"Business Process Management","author":"SJ van Zelst","year":"2015","unstructured":"van Zelst, S.J., van Dongen, B.F., van der Aalst, W.M.P.: Avoiding over-fitting in ILP-based process discovery. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 163\u2013171. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-23063-4_10"}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-21290-2_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T00:06:11Z","timestamp":1716854771000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-21290-2_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030212896","9783030212902"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-21290-2_36","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":"29 May 2019","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":"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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.caise19.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}