Monographien
Big Data (Quality) Analytics – Contributions to the Assessment of Data Quality and Data-Driven Decision-Making.
Dissertation, Ulm 2022
Beiträge in Zeitschriften mit Begutachtungsverfahren
Different but the Same? Event-driven Probability-based Duplicate Detection
Management Information Systems Quarterly (2025), forthcoming (mit Bernd Heinrich, Mathias Klier und Alexander Schiller), https://misq.umn.edu/different-but-the-same-an-event-driven-approach-to-determine-probabilities-of-data-duplication.html
Anomaly-based Assessment of Semantic Consistency: Design and Evaluation of a Novel Probability-based Metric in Cooperation with a German Car Manufacturer
Journal of Data and Information Quality (2025), https://doi.org/10.1145/3732783 (mit Mathias Klier, Christian Sparn und Torben Widmann)
Aspect-based currency of customer reviews: A novel probability-based metric to pave the way for data quality-aware decision-making
Electronic Markets (2025), 35:10, https://doi.org/10.1007/s12525-025-00760-4 (mit Lukas Hägele, Mathias Klier und Lars Moestue)
Assessing Completeness of IoT Data: A Novel Probabilistic Approach
Bus Inf Syst Eng (2024), https://doi.org/10.1007/s12599-024-00889-0 (mit Mathias Klier, Lars Moestue und Torben Widmann)
What to buy, Pepper? – Bridging the Physical and the Digital World with Recommendations from Humanoid Robots
Journal of Decision Systems (2023), 32:2, 439-465, https://doi.org/10.1080/12460125.2022.2029049 (mit Roland Graef, Mathias Klier und Jan Felix Zolitschka)
Beiträge auf Konferenzen mit Begutachtungsverfahren
A Taxonomy for Uncertainty-Aware Explainable AI
In: Proceedings of the 33rd European Conference on Information Systems (ECIS) 2025, Amman, Jordanien, https://aisel.aisnet.org/ecis2025/ai_org/ai_org/5/ (mit Maximilian Förster, Michael Hagn, Nico Hambauer, Paula Jaki, Marc Pinski, Andreas Schauer, Alexander Schiller, Alexander Benlian, Bernd Heinrich, Ekaterina Jussupow, Mathias Klier, Mathias Kraus und Daniel Schnurr)
Oldie But Goodie – Currency Beats Data Age of Customer Reviews When It Comes to Recommender System Performance
In: Proceedings of the 44th International Conference on Information Systems (ICIS) 2024, Bangkok, https://aisel.aisnet.org/icis2024/data_soc/data_soc/8 Thailand (mit Lukas Hägele, Mathias Klier und Christian Sparn)
Age Ain’t Just a Number: Exploring the Volume vs. Age Dilemma for Textual Data to Enhance Decision Making
In: Proceedings of 19th Wirtschaftsinformatik (WI) 2024, Würzburg, Deutschland, https://aisel.aisnet.org/wi2024/17 (mit Lukas Hägele, Mathias Klier und Torben Widmann)
Tell Me Why (I Want It That Way) – Effects of Explanations and Online Customer Reviews on Trust in Recommender Systems
In: Proceedings of the 43nd International Conference on Information Systems (ICIS) 2023, Hyderabad, Indien, https://aisel.aisnet.org/icis2023/emobilecomm/emobilecomm/12 (mit Eva Bohnen, Phillipp Hühn und Kilian Züllig)
Event-Driven Assessment of Currency of Wiki Articles: A Novel Probability-Based Metric
In: Proceedings of the 42nd International Conference on Information Systems (ICIS) 2021, Austin, Texas, https://aisel.aisnet.org/icis2021/data_analytics/data_analytics/14 (mit Mathias Klier, Lars Moestue und Torben Widmann)
Explaining the Stars: Aspect-based Sentiment Analysis of Online Customer Reviews
In: Proceedings of the 27th European Conference on Information Systems (ECIS) 2019, Stockholm & Uppsala, Sweden, https://aisel.aisnet.org/ecis2019_rp/169 (mit Markus Binder, Bernd Heinrich, Mathias Klier und Alexander Schiller)
Anomaly-Based Duplicate Detection: A Probabilistic Approach
In: Proceedings of the 14th International Conference on Design Science Research in Information Systems and Technology (DESRIST) 2019, Worcester, Massachusetts, https://doi.org/10.1007/978-3-030-19504-5_15
Event-Driven Duplicate Detection: A Probability-Based Approach
In: Proceedings of the 26th European Conference on Information Systems (ECIS) 2018, Portsmouth, UK, https://aisel.aisnet.org/ecis2018_rp/198 (mit Bernd Heinrich, Mathias Klier und Alexander Schiller)
Sie finden meine Forschungsbeiträge auch auf Google Scholar:
