Alexander Seeliger
Alexander Seeliger
Telecooperation, Computer Science
Bestätigte E-Mail-Adresse bei tk.informatik.tu-darmstadt.de
Titel
Zitiert von
Zitiert von
Jahr
Upgrading wireless home routers for enabling large-scale deployment of cloudlets
C Meurisch, A Seeliger, B Schmidt, I Schweizer, F Kaup, M Mühlhäuser
International Conference on Mobile Computing, Applications, and Services, 12-29, 2015
302015
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
202016
BINet: multivariate business process anomaly detection using deep learning
T Nolle, A Seeliger, M Mühlhäuser
International Conference on Business Process Management, 271-287, 2018
152018
Analyzing business process anomalies using autoencoders
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Machine Learning 107 (11), 1875-1893, 2018
142018
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
122017
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
62018
A semantic browser for linked open data
A Seeliger, H Paulheim
62012
Process compliance checking using taint flow analysis
A Seeliger, T Nolle, B Schmidt, M Mühlhäuser
42016
Binet: Multi-perspective business process anomaly classification
T Nolle, S Luettgen, A Seeliger, M Mühlhäuser
Information Systems, 101458, 2019
32019
ProcessExplorer: intelligent process mining guidance
A Seeliger, AS Guinea, T Nolle, M Mühlhäuser
International Conference on Business Process Management, 216-231, 2019
22019
What Belongs Together Comes Together: Activity-centric Document Clustering for Information Work
A Seeliger, B Schmidt, I Schweizer, M Mühlhäuser
Proceedings of the 21st International Conference on Intelligent User …, 2016
22016
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
2020
Extended synthetic event logs for multi-perspective trace clustering
A Seeliger, S Lüttgen, M Mühlhäuser, T Nolle
2020
UPA'19: 4th international workshop on ubiquitous personal assistance
AS Guinea, A Seeliger, V Pejović, U Naeem, PM Scholl, C Mihale-Wilson, ...
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
2019
ProcessExplorer: Interactive Visual Exploration of Event Logs with Analysis Guidance
A Seeliger, M Ratzke, T Nolle, M Mühlhäuser
International Conference on Process Mining - ICPM Demo Track 2019, 24-27, 2019
2019
Synthetic event logs for multi-perspective trace clustering
A Seeliger, T Nolle, M Mühlhäuser
2018
ProcessExplorer: An Interactive Visual Recommendation System for Process Mining
A Seeliger, T Nolle, M Mühlhäuser
2018
Can We Find Better Process Models? Process Model Improvement Using Motif-Based Graph Adaptation
A Seeliger, M Stein, M Mühlhäuser
International Conference on Business Process Management, 230-242, 2017
2017
Beyond Process Mining-Process Mining für Prozesstransformation und ERP-Einführungen
C Fleig, A Seeliger, A Knissling
IM+ io, 90, 2017
2017
Activity and Content Document Clustering
A Seeliger
2014
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