{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T06:52:36Z","timestamp":1758264756369,"version":"3.38.0"},"reference-count":0,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2014,7,16]]},"DOI":"10.3233\/ida-140668","type":"journal-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T17:03:07Z","timestamp":1539882187000},"page":"761-791","source":"Crossref","is-referenced-by-count":14,"title":["Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data"],"prefix":"10.1177","volume":"18","author":[{"given":"Albrecht","family":"Zimmermann","sequence":"first","affiliation":[{"name":"DTAI Lab, Computer Science Department, KU Leuven, Celestijnenlaan 200A, B-3001 Leuven, Belgium. Tel.: ; E-mail: albrecht.zimmermann@cs.kuleuven.be"}]}],"member":"179","container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-140668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T13:29:51Z","timestamp":1741613391000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-140668"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7,16]]},"references-count":0,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.3233\/ida-140668","relation":{},"ISSN":["1571-4128","1088-467X"],"issn-type":[{"type":"electronic","value":"1571-4128"},{"type":"print","value":"1088-467X"}],"subject":[],"published":{"date-parts":[[2014,7,16]]}}}