| Concept drift detection on streaming data with dynamic outlier aggregation L Zellner, F Richter, J Sontheim, A Maldonado, T Seidl Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021 | 12 | 2021 |
| OTOSO: online trace ordering for structural overviews F Richter, A Maldonado, L Zellner, T Seidl Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021 | 6 | 2021 |
| TOAD: trace ordering for anomaly detection F Richter, Y Lu, L Zellner, J Sontheim, T Seidl 2020 2nd International Conference on Process Mining (ICPM), 169-176, 2020 | 5 | 2020 |
| LIProMa: Label-independent process matching F Richter, L Zellner, I Azaiz, D Winkel, T Seidl Business Process Management Workshops: BPM 2019 International Workshops …, 2019 | 4 | 2019 |
| Model-aware clustering of non-conforming traces F Richter, L Zellner, J Sontheim, T Seidl On the Move to Meaningful Internet Systems: OTM 2019 Conferences …, 2019 | 4 | 2019 |
| Easyev: Monitoring and querying system for electric vehicle fleets using smart car data G Jossé, M Schubert, L Zellner Advances in Spatial and Temporal Databases: 14th International Symposium …, 2015 | 4 | 2015 |
| TADE: Stochastic conformance checking using temporal activity density estimation F Richter, J Sontheim, L Zellner, T Seidl Business Process Management: 18th International Conference, BPM 2020 …, 2020 | 2 | 2020 |
| Scorer-gap: sequentially correlated rules for event recommendation considering gap size L Zellner, J Sontheim, F Richter, G Lindner, T Seidl 2021 International Conference on Data Mining Workshops (ICDMW), 925-934, 2021 | 1 | 2021 |
| On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises L Zellner, S Rauch, J Sontheim, T Seidl Pacific-Asia Conference on Knowledge Discovery and Data Mining, 118-130, 2024 | | 2024 |
| Process Mining Techniques for Collusion Detection in Online Exams A Maldonado, L Zellner, S Strickroth, T Seidl International Conference on Process Mining, 336-348, 2023 | | 2023 |
Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, Germany在 dbs.ifi.lmu.de 的电子邮件经过验证
