Timo Nolle
Timo Nolle
Telecooperation, Computer Science
Bestätigte E-Mail-Adresse bei tk.tu-darmstadt.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Unsupervised anomaly detection in noisy business process event logs using denoising autoencoders
T Nolle, A Seeliger, M Mühlhäuser
International conference on discovery science, 442-456, 2016
232016
BINet: multivariate business process anomaly detection using deep learning
T Nolle, A Seeliger, M Mühlhäuser
International Conference on Business Process Management, 271-287, 2018
172018
Analyzing business process anomalies using autoencoders
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Machine Learning 107 (11), 1875-1893, 2018
152018
Detecting concept drift in processes using graph metrics on process graphs
A Seeliger, T Nolle, M Mühlhäuser
Proceedings of the 9th Conference on Subject-Oriented Business Process …, 2017
152017
Finding structure in the unstructured: hybrid feature set clustering for process discovery
A Seeliger, T Nolle, M Mühlhäuser
International Conference on Business Process Management, 288-304, 2018
72018
ProcessExplorer: intelligent process mining guidance
A Seeliger, AS Guinea, T Nolle, M Mühlhäuser
International Conference on Business Process Management, 216-231, 2019
62019
Process compliance checking using taint flow analysis
A Seeliger, T Nolle, B Schmidt, M Mühlhäuser
62016
Binet: Multi-perspective business process anomaly classification
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Information Systems, 101458, 2019
42019
DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks
T Nolle, A Seeliger, N Thoma, M Mühlhäuser
International Conference on Advanced Information Systems Engineering, 319-333, 2020
12020
ProcessExplorer: An Interactive Visual Recommendation System for Process Mining
A Seeliger, T Nolle, M Mühlhäuser
12018
Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones
C Meurisch, A Gogel, B Schmidt, T Nolle, F Janssen, I Schweizer, ...
Proceedings of the 14th EAI International Conference on Mobile and …, 2017
12017
PROCESSEXPLORER: Interactive Visual Exploration of Event Logs with Analysis Guidance
A Seeliger, M Ratzke, T Nolle, M Mühlhäuser
1
Data-driven Detection of Congestion-affected Roads
T Nolle, I Schweizer, F Janssen
2014-11-25)[2017-02-14]. http://www. ke. tu-darmstadt. de/publications …, 0
1
Extended synthetic event logs for multi-perspective trace clustering
A Seeliger, S Lüttgen, M Mühlhäuser, T Nolle
2020
Synthetic event logs for multi-perspective trace clustering
A Seeliger, T Nolle, M Mühlhäuser
2018
Predicting Traffic Volume Using User-generated Data
T Nolle
2013
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