%0 Journal Article %1 Krajsic_2022 %A Krajsic, Philippe %A Franczyk, Bogdan %D 2022 %I Elsevier BV %J Procedia Computer Science %K imported xack %P 235–244 %R 10.1016/j.procs.2022.09.056 %T Catch Me If You Can: Online Classification for Near Real-Time Anomaly Detection in Business Process Event Streams %U http://dx.doi.org/10.1016/j.procs.2022.09.056 %V 207

@article{Krajsic_2022, added-at = {2024-12-10T12:47:29.000+0100}, author = {Krajsic, Philippe and Franczyk, Bogdan}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/22440f76f3a9cd26d7544d740d9d2c601/scadsfct}, doi = {10.1016/j.procs.2022.09.056}, interhash = {2ff2108a68c71edb8bb143e0c799989f}, intrahash = {2440f76f3a9cd26d7544d740d9d2c601}, issn = {1877-0509}, journal = {Procedia Computer Science}, keywords = {imported xack}, pages = {235–244}, publisher = {Elsevier BV}, timestamp = {2025-02-27T11:46:56.000+0100}, title = {Catch Me If You Can: Online Classification for Near Real-Time Anomaly Detection in Business Process Event Streams}, url = {http://dx.doi.org/10.1016/j.procs.2022.09.056}, volume = 207, year = 2022 }