Dr. Sandra Zilker
Forschungsgebiete
- Process Mining
- Process Prediction (with Machine Learning)
Lehre
- Internet of Things and Industrial Services Seminar
- Seminar Wirtschaftsinformatik
- Forschungsmethodisches Seminar
CV
Berufserfahrung
Seit 10/2018 | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Wissenschaftliche Mitarbeiterin | Lehrstuhl für Digital Industrial Service Systems |
11/2016 – 09/2018 | comma, GmbH & Co. KG Merchandise Planner & Allocator |
08/2013 – 11/2013 | Glossybox; Beauty Trend GmbH Praktikantin | Operations/ Logistik |
03/2011 – 09/2014 | Julius-Maximilians-Universität Würzburg (JMU) Studentische Hilfskraft | Lehrstuhl Prof. Thome |
Ausbildung
10/2018 – 06/2023 | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Doktorandin | Information Systems |
05/2014 – 07/2016 | Julius-Maximilians-Universität Würzburg (JMU) Master of Science | Information Systems |
01/2014 – 05/2014 | Florida Gulf Coast University, Fort Myers, Florida (FGCU) Auslandssemester |
10/2010 – 05/2014 | Julius-Maximilians-Universität Würzburg (JMU) Bachelor of Science | Wirtschaftswissenschaften |
Publikationen
Beiträge
Es wurden leider keine Publikationen gefunden.
Konferenzen
2024
- Ließmann A., Zilker S., Weinzierl S., Sukhareva M., Matzner M.:
Predicting customer satisfaction in service processes using multilingual large language models
Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
BibTeX: Download - Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
Context-aware explanations of accurate predictions in service processes
Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024
BibTeX: Download
2023
- Dunzer S., Tang W., Höchstädter N., Zilker S., Matzner M.:
Design Principles for Using Business Process Management Systems
Business Process Management 2023 Workshops (Utrecht, The Netherlands, 11. September 2023 - 15. September 2023)
In: Jochen De Weerdt and Luise Pufahl (Hrsg.): Business Process Management Workshops, Cham, Switzerland: 2023
BibTeX: Download - Zilker S., Weinzierl S., Zschech P., Kraus M., Matzner M.:
Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction
European Conference on Information Systems (Kristiansand, 13. Juni 2023 - 16. Juni 2023)
In: Proceedings of the 31st European Conference on Information Systems 2023
BibTeX: Download
2022
- Cabrera Pérez L., Weinzierl S., Zilker S., Matzner M.:
Text-aware predictive process monitoring with contextualized word embeddings
International Conference on Business Process Management (Münster)
In: Proceedings of the BPM 2022 International Workshops 2022
DOI: 10.1007/978-3-031-25383-6_22
BibTeX: Download - Weinzierl S., Bartelheimer C., Zilker S., Beverungen D., Matzner M.:
A method for predicting workarounds in business processes
Pacific Asia Conference on Information Systems (Taipei-Sydney, 5. Juli 2022 - 9. Juli 2022)
In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
BibTeX: Download - Zilker S.:
Designing a Method for Resource-specific Next Activity Prediction
Pacific Asia Conference on Information Systems (PACIS) (Taipei - Sydney // Virtual, 5. Juli 2022 - 9. Juli 2022)
In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
BibTeX: Download - Zilker S., Marx E., Stierle M., Matzner M.:
Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
Hawaii International Conference on System Sciences (Maui, Hawaii, 4. Januar 2022 - 7. Januar 2022)
In: Proceedings of the 55th Hawaii International Conference on System Sciences 2022
DOI: 10.24251/HICSS.2022.239
URL: http://hdl.handle.net/10125/79571
BibTeX: Download - Zschech P., Weinzierl S., Hambauer N., Zilker S., Kraus M.:
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
European Conference on Information Systems (Timisoara, 5. Juli 2022 - 9. Juli 2022)
In: Proceedings of the 30th European Conference on Information Systems 2022
BibTeX: Download
2021
- Dunzer S., Zilker S., Marx E., Grundler V., Matzner M.:
The Status Quo of Process Mining in the Industrial Sector
International Conference on Wirtschaftsinformatik (WI) (Duisburg-Essen // Virtual, 9. März 2021 - 11. März 2021)
In: Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI) 2021
DOI: 10.1007/978-3-030-86800-0_43
URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/
BibTeX: Download - Stierle M., Brunk J., Weinzierl S., Zilker S., Matzner M., Becker J.:
Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021
BibTeX: Download - Weinzierl S., Dunzer S., Tenschert J., Zilker S., Matzner M.:
Predictive business process deviation monitoring
European Conference on Information Systems (Marrakesch)
In: Proceedings of the 29th European Conference on Information Systems 2021
BibTeX: Download
2020
- Ochmann J., Michels L., Zilker S., Tiefenbeck V., Laumer S.:
The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations
Proceedings of the 41st International Conference on Information Systems (ICIS) (Hyderabad, Indien)
In: International Conference on Information Systems (ICIS) (Hrsg.): Proceedings of the 41st International Conference on Information Systems (ICIS) 2020
BibTeX: Download - Ochmann J., Zilker S., Laumer S.:
Job Seekers' Artificial Intelligence-related Black Box Concerns
Proceedings of the 2020 on Computers and People Research Conference (SIGMIS-CPR'20). (New York, NY, USA,)
In: Association for Computing Machinery (Hrsg.): Proceedings of the 2020 on Computers and People Research Conference 2020
DOI: 10.1145/3378539.3393841
BibTeX: Download - Stierle M., Zilker S., Dunzer S., Tenschert J., Karagegova G.:
Design Principles for Comprehensible Process Discovery in Process Mining
In: Rowe F, Amrani RE, Limayem M, Newell S, Pouloudi N, Heck E, Quammah AE (Hrsg.): 28th European Conference on Information Systems - Liberty, Equality, and Fraternity in a Digitizing World, ECIS 2020, Marrakech, Morocco, June 15-17, 2020 2020
URL: https://aisel.aisnet.org/ecis2020_rp/42/
BibTeX: Download - Weinzierl S., Dunzer S., Zilker S., Matzner M.:
Prescriptive business process monitoring for recommending next best actions
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the 18th International Conference on Business Process Management Forum 2020
DOI: 10.1007/978-3-030-58638-6_12
URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58638-6_12.pdf
BibTeX: Download - Weinzierl S., Stierle M., Zilker S., Matzner M.:
A next click recommender system for web-based service analytics with context-aware LSTMs
Hawaii International Conference on System Sciences (Grand Wailea, Maui, Hawaii, 7. Januar 2020 - 10. Januar 2020)
In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
DOI: 10.24251/HICSS.2020.190
URL: http://hdl.handle.net/10125/63929
BibTeX: Download - Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
XNAP: Making LSTM-based next activity predictions explainable by using LRP
International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
In: Proceedings of the BPM 2020 International Workshops. 2020
DOI: 10.1007/978-3-030-66498-5_10
BibTeX: Download - Weinzierl S., Zilker S., Stierle M., Park G., Matzner M.:
From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
Internationale Tagung Wirtschaftsinformatik (Potsdam, 8. März 2020 - 11. März 2020)
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
DOI: 10.30844/wi_2020_c12-weinzierl
URL: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf
BibTeX: Download
Berichte
Es wurden leider keine Publikationen gefunden.