{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:40:46Z","timestamp":1760892046548,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031822247"},{"type":"electronic","value":"9783031822254"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:00Z","timestamp":1743120000000},"content-version":"vor","delay-in-days":86,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Online process analysis aims at identifying behavioral regularities\u00a0or abnormalities in processes in near-real-time from continuous event streams. Yet, its realization is challenging, due to the requirements in terms\u00a0of scalability and accuracy imposed by processes in Internet-of-Things environments. Against this background, this paper presents an approach for online process analysis that is based on standard models and systems for complex\u00a0event processing (CEP). We present the \u201cDetect and Conquer\u201d approach that includes generic process templates to accurately capture behavioral regularities\u00a0or deviations, which are then mapped to CEP queries to achieve their efficient evaluation. We evaluated our approach against synthetic and real-world datasets. The results demonstrate the feasibility and efficiency of our approach.<\/jats:p>","DOI":"10.1007\/978-3-031-82225-4_50","type":"book-chapter","created":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T03:01:04Z","timestamp":1743303664000},"page":"681-692","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detect and Conquer: Template-Based Analysis of\u00a0Processes Using Complex Event Processing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4295-1268","authenticated-orcid":false,"given":"Christian","family":"Imenkamp","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9852-7489","authenticated-orcid":false,"given":"Samira","family":"Akili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3325-7227","authenticated-orcid":false,"given":"Matthias","family":"Weidlich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8206-7636","authenticated-orcid":false,"given":"Agnes","family":"Koschmider","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"key":"50_CR1","doi-asserted-by":"publisher","unstructured":"van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow patterns. 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