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Marwan Hassani leads a small research group focused on streaming process mining within the Process Analytics cluster. His research primarily revolves around online knowledge extraction from streaming event data, particularly in the realm of stream process mining. His main research interests include the development and application of unsupervised learning methods, including clustering, outlier detection, and sequential pattern mining from streaming data. A significant application of his work is optimizing customer journeys and similar scenarios that demand scalable solutions in an online context with limited domain knowledge. He emphasizes the importance of unsupervised online learning for event streams under conditions of real-time demands and scarce domain knowledge.
Eindhoven University of Technology • Eindhoven, Netherlands
Leading Customer Journey track at the Data Science Center Eindhoven, involved in various aspects of data mining and process mining.
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