The course starts with an overview of the BPM domain using a set of twenty BPM use cases. These cover four key BPM activities: model (creating a process model to be used for analysis or enactment), enact (using a process model to control and support concrete cases), analyze (analyzing a process using a process model Read More …
The course starts with an overview of the BPM domain using a set of twenty BPM use cases. These cover four key BPM activities: model (creating a process model to be used for analysis or enactment), enact (using a process model to control and support concrete cases), analyze (analyzing a process using a process model Read More …
The Real-Time Process Mining course is an advanced master-level process mining course where the following main contents will be covered: Dimensionality reduction and efficient preprocessing of log files Stream data mining Advanced topics in process mining, like: stream process discovery, online conformance checking and concept drift detection When the focus shifts to advanced topics in Read More …
Dr. Marwan Hassani is assistant professor at the PA group with a focus on Real-Time Process Mining. His research interests include stream data mining, sequential pattern mining of multiple streams, efficient anytime clustering of big data streams and exploration of evolving graph data. He uses customer journey optimizationa and privacy-aware process mining as use cases for his Read More …
Position: PhD Student Room: MF 7.062 Tel (internal): 6322 Links: Courses Presentations Projects Publications External links: Google scholar page Scopus page ORCID page DBLP page TU/e page Recent courses Recent presentations Recent projects Recent publications
Position: PhD Student Room: MF 7.117 Tel (internal): 3720 Links: Courses Presentations Projects Publications External links: Google scholar page Scopus page ORCID page DBLP page TU/e page Recent courses Recent presentations Recent projects Recent publications Recent awards
