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职业迁徙
个人简介
She researches methods for data-driven analysis and explanation of processes (process mining), based on artificial intelligence, and methods for predicting process behavior. She is also researching on methods for privacy-preserving analysis and minimizing the re-identification of process data. At the center of her research is process analytics: developing a pipeline to efficiently process the complete chain from raw data (time series, sensor event data, and video data) to process discovery. The applications of such a data pipelines can be found in many disciplines such as medicine, agricultural sciences, geology, geography, material sciences or marine sciences.
研究兴趣
论文共 149 篇作者统计合作学者相似作者
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BPM (Forum)pp.196-213, (2023)
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International journal of environmental research and public healthno. 8 (2023): 5543-5543
AGRICULTURE-BASELno. 8 (2023): 1639-1639
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Journal of Data and Information Qualityno. 3 (2023): 1-21
CAiSE Workshopspp.50-61, (2023)
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Agnes Koschmider,Milda Aleknonytė-Resch, Frederik Fonger, Christian Imenkamp,Arvid Lepsien, Kaan Apaydin, Maximilian Harms, Dominik Janssen, Dominic Langhammer,Tobias Ziolkowski, Yorck Zisgen
CoRR (2023)
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Wirtschaftsinformatik & Managementno. 6 (2023): 407-415
ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING (2022): 347-350
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