Professorship for Information Systems, in particular Data Science
Organisational unit: Professoship
Organisation profile
The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.
Main research areas
The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.
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Deal or no deal? How round vs precise percentage offers and price-ending mimicry affect impasse risk in over 25 million eBay negotiations
Petrowsky, H. M., Schweinsberg, M., Seitz, L., Funk, B. & Loschelder, D. D., 01.01.2023, In: Journal of Economic Psychology. 94, 10 p., 102584.Research output: Journal contributions › Journal articles › Research › peer-review
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Semi-Supervised Generative Models for Multi-Agent Trajectories
Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook: Curran Associates, Vol. 48. p. 37267-37281 15 p. (Advances in Neural Information Processing Systems; vol. 35).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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DASC-PM v1.1: A Process Model for Data Science Projects
Schulz, M., Neuhaus, U., Kaufmann, J., Kühnel, S., Alekozai, E. M., Rohde, H., Hoseini, S., Theuerkauf, R., Badura, D., Kerzel, U., Lanquillon, C., Daurer, S., Günther, M., Huber, L., Thiée, L.-W., Heiden, P. Z., Passlick, J., Dieckmann, J., Schwade, F., Seyffarth, T., Badewitz, W., Rissler, R., Sackmann, S., Gölzer, P., Welter, F., Röth, J., Seidelmann, J. & Haneke, U., 03.2022, Elmshorn: NORDAKADEMIE gAG Hochschule der Wirtschaft. 89 p.Research output: Books and anthologies › Monographs › Research
- Published
Watch out, pothole! Featuring Road Damage Detection in an End-to-end System for Autonomous Driving
Kortmann, F., Faßmeyer, P., Funk, B. & Drews, P., 01.11.2022, In: Data and Knowledge Engineering. 142, 102091.Research output: Journal contributions › Journal articles › Research › peer-review
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Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches
Sadeh-Sharvit, S., Idan, O., Fowler, L. A., Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Smith, A., Graham, A. K., Goelf , N. J., Flatt, R. E., Balantekinh, K. N., Monterubiod, G. E., Karam, A. M., Funk, B., Trockel, M. T., Wilfley, D. E. & Taylor, C. B., 2023, In: Eating Disorders, The Journal of Treatment & Prevention. 31, 2, p. 191-199 9 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Effectiveness and Moderators of an Internet-Based Mobile-Supported Stress Management Intervention as a Universal Prevention Approach: Randomized Controlled Trial
Ebert, D. D., Franke, M., Zarski, A.-C., Berking, M., Riper, H., Cuijpers, P., Funk, B. & Lehr, D., 22.12.2021, In: Journal of Medical Internet Research. 23, 12, 19 p., e22107.Research output: Journal contributions › Journal articles › Research › peer-review
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Extraction of information from invoices - challenges in the extraction pipeline
Thiée, L. W., Krieger, F. & Funk, B., 2023, INFORMATIK 2023: Designing Futures: Zukünfte gestalten, 26. – 29. September 2023, Berlin. Klein, M., Krupka, D., Winter, C. & Wohlgemuth, V. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 1777-1792 16 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. P-337).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Automated Invoice Processing: Machine Learning-Based Information Extraction for Long Tail Suppliers
Krieger, F., Drews, P. & Funk, B., 01.11.2023, In: Intelligent Systems with Applications. 20, 14 p., 200285.Research output: Journal contributions › Journal articles › Research › peer-review
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Finding the Best Match — a Case Study on the (Text‑) Feature and Model Choice in Digital Mental Health Interventions
Zantvoort, K., Scharfenberger, J., Boß, L., Lehr, D. & Funk, B., 12.2023, In: Journal of Healthcare Informatics Research. 7, 4, p. 447-479 33 p., 00148.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Parsing Causal Models – An Instance Segmentation Approach
Scharfenberger, J. & Funk, B., 08.06.2023, Intelligent Information Systems - CAiSE Forum 2023, Proceedings. Cabanillas, C. & Pérez, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 43-51 9 p. (Lecture Notes in Business Information Processing; vol. 477 LNBIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review