{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T01:27:00Z","timestamp":1776821220008,"version":"3.51.2"},"publisher-location":"New York, New York, USA","reference-count":9,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3216122.3216125","type":"proceedings-article","created":{"date-parts":[[2018,7,10]],"date-time":"2018-07-10T16:26:42Z","timestamp":1531240002000},"page":"278-282","source":"Crossref","is-referenced-by-count":9,"title":["Distributed Learning of Process Models for Next Activity Prediction"],"prefix":"10.1145","author":[{"given":"Michelangelo","family":"Ceci","sequence":"first","affiliation":[{"name":"University of Bari Aldo Moro and CINI"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michele","family":"Spagnoletta","sequence":"additional","affiliation":[{"name":"University of Bari Aldo Moro and Exprivia S.p.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pasqua Fabiana","family":"Lanotte","sequence":"additional","affiliation":[{"name":"University of Bari Aldo Moro"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donato","family":"Malerba","sequence":"additional","affiliation":[{"name":"University of Bari Aldo Moro and CINI"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3216122.3216125-1","doi-asserted-by":"crossref","unstructured":"M. Ceci and A. Appice. Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst., 27(3):191--213, 2006.","DOI":"10.1007\/s10844-006-9950-x"},{"key":"key-10.1145\/3216122.3216125-2","doi-asserted-by":"crossref","unstructured":"M. Ceci, P. F. Lanotte, F. Fumarola, D. P. Cavallo, and D. Malerba. Completion time and next activity prediction of processes using sequential pattern mining. In S. Dzeroski, P. Panov, D. Kocev, and L. Todorovski, editors, Discovery Science - 17th International Conference, DS 2014, Bled, Slovenia, October 8-10, 2014. Proceedings, volume 8777 of Lecture Notes in Computer Science, pages 49--61. Springer, 2014.","DOI":"10.1007\/978-3-319-11812-3_5"},{"key":"key-10.1145\/3216122.3216125-3","doi-asserted-by":"crossref","unstructured":"H. Chernoff. A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations. The Annals of Mathematical Statistics, pages 493--507, Vol. 23, No. 4 (Dec. 1952).","DOI":"10.1214\/aoms\/1177729330"},{"key":"key-10.1145\/3216122.3216125-4","doi-asserted-by":"crossref","unstructured":"F. Fumarola, P. F. Lanotte, M. Ceci, and D. Malerba. Clofast: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst., 48(2):429--463, 2016.","DOI":"10.1007\/s10115-015-0884-x"},{"key":"key-10.1145\/3216122.3216125-5","doi-asserted-by":"crossref","unstructured":"F. Fumarola and D. Malerba. A parallel algorithm for approximate frequent itemset mining using mapreduce. In International Conference on High Performance Computing & Simulation, HPCS 2014, Bologna, Italy, 21-25 July, 2014, pages 335--342. IEEE, 2014.","DOI":"10.1109\/HPCSim.2014.6903705"},{"key":"key-10.1145\/3216122.3216125-6","unstructured":"W. Li, J. Han, and J. Pei. Cmar: Accurate and efficient classification based on multiple class-association rules. In N. Cercone, T. Y. Lin, and X. Wu, editors, ICDM, pages 369--376. IEEE Computer Society, 2001."},{"key":"key-10.1145\/3216122.3216125-7","doi-asserted-by":"crossref","unstructured":"W. M. P. van der Aalst. Do Petri Nets Provide the Right Representational Bias for Process Mining? In J. Desel and A. Yakovlev, editors, Workshop Applications of Region Theory 2011 (ART 2011), volume 725 of CEUR Workshop Proceedings, pages 85--94. CEUR-WS.org, 2011.","DOI":"10.1109\/WETICE.2011.64"},{"key":"key-10.1145\/3216122.3216125-8","doi-asserted-by":"crossref","unstructured":"W. M. P. van der Aalst. Decomposing petri nets for process mining: A generic approach. Distributed and Parallel Databases, 31(4):471--507, 2013.","DOI":"10.1007\/s10619-013-7127-5"},{"key":"key-10.1145\/3216122.3216125-9","doi-asserted-by":"crossref","unstructured":"W. M. P. van der Aalst, M. Pesic, and M. Song. Beyond process mining: From the past to present and future. In B. Pernici, editor, CAiSE, volume 6051 of Lecture Notes in Computer Science, pages 38--52. Springer, 2010.","DOI":"10.1007\/978-3-642-13094-6_5"}],"event":{"name":"the 22nd International Database Engineering & Applications Symposium","location":"Villa San Giovanni, Italy","acronym":"IDEAS 2018","number":"22","sponsor":["Concordia University"],"start":{"date-parts":[[2018,6,18]]},"end":{"date-parts":[[2018,6,20]]}},"container-title":["Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3216122.3216125","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3216125&ftid=1986369&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:29:34Z","timestamp":1750285774000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3216122.3216125"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1145\/3216122.3216125","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}