Alexander Seeliger

Alexander Seeliger

+49 6151 16-23190
+49 6151 16-23202

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 A112

Research Interests

  • Process Mining of Business Processes
  • Big Data Processing and Mining
  • Knowledge Extraction of Unstructured Data
  • Machine Learning Methods and Techniques

Current / Past Research Projects

  • KI.RPA: Intelligent Robotic Process Automation (> 2018)
    The goal of the project is to develop a tool that companies can use to create virtual employee pools based on robotic process automation, which support human employees in recurring routine tasks.
  • DRUP: Deep Reasoning about Business Processes (2017 – 2018)
    The goal of the project is to develop methods that extract valuable knowledge in event logs of which the structure is not known before analysis.
  • PASAP: Process Analytics: Entwicklung von Softwaretechnologien für einen neuartigen Ansatz in der Prozessanalyse (2015 – 2017)




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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2017 | 2016 | 2015 | 2012
Anzahl der Einträge: 14.


Sanchez Guinea, Alejandro ; Naeem, Usman ; Scholl, Philipp M. ; Di Lascio, Elena ; Kuo, Pei-Yi (Patricia) ; Pejovic, Veljko ; Seeliger, Alexander ; Mihale-Wilson, Cristina ; Azam, Muhammad Awais ; Mühlhäuser, Max ; Meurisch, Christian (2019):
UPA’19: 4th International Workshop on Ubiquitous Personal Assistance.
In: UbiComp 2019, London, 11th-13th September 2019, [Online-Edition:],

Seeliger, Alexander ; Sánchez Guinea, Alejandro ; Nolle, Timo ; Mühlhäuser, Max (2019):
ProcessExplorer: Intelligent Process Mining Guidance.
In: 17th International Conference on Business Process Management, Wien, Austria, [Konferenzveröffentlichung]

Seeliger, Alexander ; Ratzke, Maximilian ; Nolle, Timo ; Mühlhäuser, Max
Burattin, Andrea ; Polyvyanyy, Artem ; Zelst, Sebastiaan van (Hrsg.) (2019):
ProcessExplorer: Interactive Visual Exploration of Event Logs with Analysis Guidance.
In: 1st International Conference on Process Mining - Demo Track, Aachen, Germany, In: ICPMD 2019, Aachen, Germany, June 24-26, 2019, [Online-Edition:],


Seeliger, Alexander ; Nolle, Timo ; Mühlhäuser, Max
Weske, Mathias ; Montali, Marco ; Weber, Ingo ; vom Brocke, Jan (Hrsg.) (2018):
Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery.
In: Business Process Management, Cham, Springer International Publishing, Sydney, Australia, In: 16, 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.
In: KDD 2018 Workshop on Interactive Data Exploration and Analytics, London, UK, [Online-Edition:],

Nolle, Timo ; Seeliger, Alexander ; Mühlhäuser, Max
Weske, Mathias ; Montali, Marco ; Weber, Ingo ; vom Brocke, Jan (Hrsg.) (2018):
BINet: Multivariate Business Process Anomaly Detection Using Deep Learning.
Springer, Sydney, Australia, September 9-14, 2018, ISBN 978-3-319-98647-0,
DOI: 10.1007/978-3-319-98648-7_16,

Nolle, Timo ; Luettgen, Stefan ; Seeliger, Alexander ; Mühlhäuser, Max (2018):
Analyzing business process anomalies using autoencoders.
In: Machine Learning, ISSN 0885-6125,
DOI: 10.1007/s10994-018-5702-8,


Seeliger, Alexander ; Stein, Michael ; Mühlhäuser, Max
Teniente, Ernest ; Weidlich, Matthias (Hrsg.) (2017):
Can We Find Better Process Models? Process Model Improvement using Motif-based Graph Adaptation.
In: Business Process Management Workshops, Springer International Publishing, Barcelona, Spain, DOI: 10.1007/978-3-319-74030-0_17,

Seeliger, Alexander ; Nolle, Timo ; Mühlhäuser, Max
Mühlhäuser, Max ; Zehbold, Cornelia (Hrsg.) (2017):
Detecting Concept Drift in Processes using Graph Metrics on Process Graphs.
In: Proceedings of the 9th International Conference on Subject-oriented Business Process Management (S-BPM-ONE), New York, NY, USA, ACM, Darmstadt, Germany, In: S-BPM ONE '17, 9, ISBN 978-1-4503-4862-1/17/03,
DOI: 10.1145/3040565.3040566,


Seeliger, Alexander ; Nolle, Timo ; Schmidt, Benedikt ; Mühlhäuser, Max (2016):
Process Compliance Checking using Taint Flow Analysis.
In: Proceedings of the 37th International Conference on Information Systems (ICIS), AIS, Dublin, Ireland, 37, [Konferenzveröffentlichung]

Nolle, Timo ; Seeliger, Alexander ; Mühlhäuser, Max
Calders, Toon ; Ceci, Michelangelo ; Malerba, Donato (Hrsg.) (2016):
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders.
In: Discovery Science: 19th International Conference, DS 2016, Bari, Italy, Proceedings, Calders, Toon Ceci, Michelangelo Malerba, Donato, Bari, Italy, ISBN 978-3-319-46307-0,
DOI: 10.1007/978-3-319-46307-0_28,

Seeliger, Alexander ; Schmidt, Benedikt ; Schweizer, Immanuel ; Mühlhäuser, Max
Nichols, Jeffrey ; Mahmud, Jalal ; O'Donovan, John ; Conati, Cristina ; Zancanaro, Massimo (Hrsg.) (2016):
What Belongs Together Comes Together. Activity-centric Document Clustering for Information Work.
In: Proceedings of the 21th International Conference on Intelligent User Interfaces, ACM, Sonoma, CA, USA, 21, ISBN 978-1-4503-4137-0,
DOI: 10.1145/2856767.2856777,


Meurisch, Christian ; Seeliger, Alexander ; Schmidt, Benedikt ; Schweizer, Immanuel ; Kaup, Fabian ; Mühlhäuser, Max (2015):
Upgrading Wireless Home Routers for Enabling Large-scale Deployment of Cloudlets.
In: Mobile Computing, Applications, and Services : 7th International Conference, MobiCASE 2015, Berlin, Springer, Berlin, Germany, November 12-13, 2015, In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 162, ISBN 978-3-319-29002-7,
DOI: 10.1007/978-3-319-29003-4_2,


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

Diese Liste wurde am Fri Sep 13 05:38:11 2019 CEST generiert.

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