My academic life

I'm currently a postdoctoral researcher at the telecooperation lab (Telekooperation) in the department of computer science at Technische Universität Darmstadt, Germany. I'm interested in process mining, an area that investigates recorded event logs by information systems to obtain valuable knowledge about how (business) processes are executed in reality. Specific topics include: process discovery, trace clustering, machine learning, and computer-assisted guidance for visual exploration.

 

Links to visit: My personal university website  |  My ORCID website  |  My Google scholar profile

Publications

2020

Alexander Seeliger (2020):
Intelligent Computer-assisted Process Mining.
Dissertation. Technische Universität Darmstadt.
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/11915/]

 

2019

Sanchez Guinea, Alejandro ; Seeliger, Alexander ; Pejovic, Usman and Scholl ; Naeem, Usman ; Scholl, Philipp ; Mihale-Wilson, Cristina ; Di Lascio, Elena ; Azam, Muhammad Awais ; Kuo, Pei-Yi (Patricia) ; Mühlhäuser, Max ; Meurisch, Christian (2019):
UPA'19: 4th International Workshop on Ubiquitous Personal Assistance.
ACM International Joint Conference on Pervasive and Ubiquitous Computing and International Symposium on Wearable Computers, New York, NY, USA, ACM, S. 1099-1101, ISBN 978-1-4503-6869-8,
DOI: 10.1145/3341162.3347755,
[Online-Edition: http://doi.acm.org/10.1145/3341162.3347755]

Seeliger, Alexander ; Sánchez Guinea, Alejandro ; Nolle, Timo ; Mühlhäuser, Max (2019):
ProcessExplorer: Intelligent Process Mining Guidance.
International Conference on Business Process Management, Wien, Austria

DOI: 10.1007/978-3-030-26619-6_15
[Online-Edition: https://link.springer.com/chapter/10.1007/978-3-030-26619-6_...]

Seeliger, Alexander ; Ratzke, Maximilian ; Nolle, Timo ; Mühlhäuser, Max (2019):
ProcessExplorer: Interactive Visual Exploration of Event Logs with Analysis Guidance.
International Conference on Process Mining - Demo Track, Aachen, Germany

[Online-Edition: http://ceur-ws.org/Vol-2374/paper7.pdf]

2018

Seeliger, Alexander ; Nolle, Timo ; Mühlhäuser, Max (2018):
Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.
Business Process Management, Sydney, Australia, S. 288-304

DOI: 10.1007/978-3-319-98648-7_17

Seeliger, Alexander ; Nolle, Timo ; Mühlhäuser, Max (2018):
ProcessExplorer: An Interactive Visual Recommendation System for Process Mining.
KDD 2018 Workshop on Interactive Data Exploration and Analytics, London, UK

[Online-Edition: http://poloclub.gatech.edu/idea2018/]

Nolle, Timo ; Seeliger, Alexander ; Mühlhäuser, Max (2018):
BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.
Business Process Management, Sydney, Australia, September 9-14, 2018, S. 271-287
DOI: 10.1007/978-3-319-98648-7_16,
[Online-Edition: https://doi.org/10.1007/978-3-319-98648-7_16]

Nolle, Timo ; Luettgen, Stefan ; Seeliger, Alexander ; Mühlhäuser, Max (2018):
Analyzing business process anomalies using autoencoders.
Machine Learning, ISSN 0885-6125

DOI: 10.1007/s10994-018-5702-8
[Online-Edition: https://doi.org/10.1007/s10994-018-5702-8]

2017

Seeliger, Alexander ; Stein, Michael ; Mühlhäuser, Max (2017):
Can We Find Better Process Models? Process Model Improvement using Motif-based Graph Adaptation.
Business Process Management Workshops, Barcelona, Spain, S. 230-242

Seeliger, Alexander ; Nolle, Timo ; Mühlhäuser, Max (2017):
Detecting Concept Drift in Processes using Graph Metrics on Process Graphs.
International Conference on Subject-oriented Business Process Management (S-BPM-ONE), New York, NY, USA, ACM, Darmstadt, Germany

ISBN 978-1-4503-4862-1/17/03

2016

Seeliger, Alexander ; Nolle, Timo ; Schmidt, Benedikt ; Mühlhäuser, Max (2016):
Process Compliance Checking using Taint Flow Analysis.
International Conference on Information Systems (ICIS), AIS, Dublin, Ireland, S. 1-18

Nolle, Timo ; Seeliger, Alexander ; Mühlhäuser, Max (2016):
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.
International Conference, DS 2016, Bari, Italy, S. 442-456

ISBN 978-3-319-46307-0

Seeliger, Alexander ; Schmidt, Benedikt ; Schweizer, Immanuel ; Mühlhäuser, Max (2016):
What Belongs Together Comes Together. Activity-centric Document Clustering for Information Work.
International Conference on Intelligent User Interfaces, ACM, Sonoma, CA, USA, S. 60-70

ISBN 978-1-4503-4137-0

2015

Meurisch, Christian ; Seeliger, Alexander ; Schmidt, Benedikt ; Schweizer, Immanuel ; Kaup, Fabian ; Mühlhäuser, Max (2015):
Upgrading Wireless Home Routers for Enabling Large-scale Deployment of Cloudlets.
International Conference, MobiCASE 2015, Berlin, Springer, Berlin, Germany, November 12-13, 2015, S. 12-29,

ISBN 978-3-319-29002-7

2012

Seeliger, Alexander ; Paulheim, Heiko (2012):
A Semantic Browser for Linked Open Data.
In: Semantic Web Challenge