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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An Integrated Case Study of the Concepts and Applications of SAP ERP HCM
Lehmann, M., Funk, B., Niemeyer, P. & Weidner, S., 2012, Advanced Information Technology in Education. Thaung, K. S. (ed.). Berlin Heidelberg: Springer, p. 117-125 9 p. (Advances in Intelligent and Soft Computing; vol. 126/2012).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
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Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor
Kortmann, F., Rodeheger, M., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 01.11.2020, 2020 IEEE 92nd Vehicular Technology Conference: Proceedings. Canada: IEEE - Institute of Electrical and Electronics Engineers Inc., 6 p. 9348664. (IEEE Vehicular Technology Conference).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A reference architecture for the integration of EMIS and ERP-Systems
Funk, B., Niemeyer, P. & Möller, A., 2009, Informatik 2009: Im Focus das Leben; Beiträge der 39. Jahrestagung der Gesellschaft für Informatik. Fischer, S., Maehle, E. & Reischuk, R. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 436 1 p. (GI-Edition : Lecture Notes in Informatics, Proceedings; vol. 154).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
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A systematic literature review of machine learning canvases
Thiée, L.-W., 05.10.2021, INFORMATIK 2021 - Die 51. Jahrestagung der Gesellschaft fur Informatikin: Computer Science and Sustainability. Gesellschaft für Informatik e.V. (GI) (ed.). Bonn: Gesellschaft für Informatik e.V., p. 1221-1235 15 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. P-314).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A two-step approach for the prediction of mood levels based on diary data
Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation
Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.Research output: Journal contributions › Journal articles › 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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Automatisierte Ermittlung von Umweltwirkungen entlang der Wertschöpfungskette
Funk, B. & Niemeyer, P., 08.2009, Facettenreiche Wirtschaftsinformatik : Controlling, Compiler & more Festschrift für Prof. Dr. rer. nat. Karl Goede. Bonin, H. E. G. (ed.). Lüneburg: Universität Lüneburg, p. 25-33 9 p. (Forum Informatics at Leuphana - FInAL; vol. 19, no. 1).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Building a process layer for business applications using the blackboard pattern
Kleine Stegemann, S., Funk, B. & Slotos, T., 2007, Software Engineering 2007: Beiträge zu den Workshops – Fachtagung des GI-Fachbereichs Softwaretechnik. Böttinger, S., Theuvsen, L., Rank, S. & Morgenstern, M. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 145-156 12 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)
Zainal, N. H., Eckhardt, R., Rackoff, G. N., Fitzsimmons-Craft, E. E., Rojas-Ashe, E., Barr Taylor, C., Funk, B., Eisenberg, D., Wilfley, D. E. & Newman, M. G., 02.04.2025, In: Psychological Medicine. 55, e106.Research output: Journal contributions › Journal articles › Research › peer-review