{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T04:27:33Z","timestamp":1684988853642},"reference-count":10,"publisher":"Springer Fachmedien Wiesbaden GmbH","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"vor","delay-in-days":41,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wirtsch Inform Manag"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1365\/s35764-023-00468-0","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T08:02:07Z","timestamp":1683878527000},"page":"134-140","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["K\u00fcnstliche Intelligenz im Process Mining\u00a0\u2013 Anwendung und Potenziale"],"prefix":"10.1365","volume":"15","author":[{"given":"Marco","family":"Barenkamp","sequence":"first","affiliation":[]},{"given":"Tobias","family":"Schnier","sequence":"additional","affiliation":[]}],"member":"93","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"468_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-34680-5","volume-title":"Robotic Process Automation (RPA) \u2013 Digitalisierung und Automatisierung von Prozessen: Voraussetzungen, Funktionsweise und Implementierung am Beispiel des Controllings und Rechnungswesens","author":"C Langmann","year":"2021","unstructured":"Langmann, C., & Turi, D. (2021). Robotic Process Automation (RPA) \u2013 Digitalisierung und Automatisierung von Prozessen: Voraussetzungen, Funktionsweise und Implementierung am Beispiel des Controllings und Rechnungswesens (2.\u00a0Aufl.). Wiesbaden: Springer.","edition":"2"},{"key":"468_CR2","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1365\/s35764-022-00404-8","volume":"14","author":"M Barenkamp","year":"2022","unstructured":"Barenkamp, M. (2022). K\u00fcnstliche Intelligenz als Unterst\u00fctzungsfunktion der Vorhersage und Prozessexzellenz im Process Mining. Wirtschaftsinformatik & Management, 14, 160\u2013170.","journal-title":"Wirtschaftsinformatik & Management"},{"key":"468_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-24170-4","volume-title":"Process-Mining \u2013 Gesch\u00e4ftsprozesse: smart, schnell und einfach","author":"R Peters","year":"2019","unstructured":"Peters, R., & Nauroth, M. (2019). Process-Mining \u2013 Gesch\u00e4ftsprozesse: smart, schnell und einfach. Wiesbaden: Springer."},{"key":"468_CR4","unstructured":"Simsek, H. (2021). Top 6 applications of machine learning in process mining. https:\/\/research.aimultiple.com\/machine-learning-process-mining\/. Zugegriffen: 12. Nov. 2022."},{"key":"468_CR5","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s13740-021-00121-2","volume":"10","author":"F Folino","year":"2021","unstructured":"Folino, F., & Pontieri, L. (2021). AI-empowered process mining for complex application scenarios: survey and discussion. Journal on Data Semantics, 10, 77\u2013106.","journal-title":"Journal on Data Semantics"},{"key":"468_CR6","volume-title":"The proactive insights engine: process mining meets machine learning and artificial intelligence","author":"F Veit","year":"2017","unstructured":"Veit, F., Geyer-Klingeberg, J., Madrzak, J., Haug, M., & Thomson, J. (2017). The proactive insights engine: process mining meets machine learning and artificial intelligence. 5th International Conference on Business Process Management 2017, Barcelona, Spain. Demo Sessions"},{"key":"468_CR7","series-title":"Proceedings of the second international conference on electronics and sustainable communication systems (ICESC-2021)","first-page":"1612","volume-title":"Robotic process automation with AI and OCR to improve business process: review","author":"G Shidaganti","year":"2021","unstructured":"Shidaganti, G., Salil, S., Anand, P., & Jadhav, V. (2021). Robotic process automation with AI and OCR to improve business process: review. Proceedings of the second international conference on electronics and sustainable communication systems (ICESC-2021). (S. 1612\u20131618)."},{"key":"468_CR8","volume-title":"Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement","author":"AM Reza","year":"2002","unstructured":"Reza, A.\u202fM. (2002). Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement. University of Wisconsin-Milwaukee: Department of Electrical Engineering and Computer Science."},{"key":"468_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-1699-4_3","volume-title":"Geometry-driven diffusion in computer vision. Computational imaging and vision","author":"P Perona","year":"1994","unstructured":"Perona, P., Shiota, T., & Malik, J. (1994). Anisotropic diffusion. In B.\u202fM. ter Haar Romeny (Hrsg.), Geometry-driven diffusion in computer vision. Computational imaging and vision Bd. 1. Dordrecht: Springer. https:\/\/doi.org\/10.1007\/978-94-017-1699-4_3."},{"key":"468_CR10","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-031-08848-3_13","volume-title":"Process Mining Handbook","author":"L Reinkemeyer","year":"2022","unstructured":"Reinkemeyer, L. (2022). Status and future of process mining: from process discovery to process execution. In W.\u202fM.\u202fP. van der Aalst & J. Carmona (Hrsg.), Process Mining Handbook (S. 405\u2013415). Cham: Springer Nature Switzerland."}],"container-title":["Wirtschaftsinformatik & Management"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1365\/s35764-023-00468-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1365\/s35764-023-00468-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1365\/s35764-023-00468-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T14:03:25Z","timestamp":1684937005000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1365\/s35764-023-00468-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":10,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["468"],"URL":"https:\/\/doi.org\/10.1365\/s35764-023-00468-0","relation":{},"ISSN":["1867-5905","1867-5913"],"issn-type":[{"value":"1867-5905","type":"print"},{"value":"1867-5913","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"3 February 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}