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.
- Published
Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Possibilities to improve online mental health treatment: Recommendations for future research and developments
Becker, D., 01.01.2019, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 91-112 22 p. (Advances in Intelligent Systems and Computing; vol. 886).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
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
- Published
State-wide university implementation of an online platform for eating disorders screening and intervention.
Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Graham, A. K., Eichen M., D., Monterubio, G., Balantekin, K. N., Karam, A. M., Seal , A., Funk, B., Taylor, C. B. & Wilfley, D., 05.2019, In: Psychological Services. 16, 2, p. 239-249 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data
Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis
Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Investigating Factors on R estorative Sleep Quality and its Relationship with Personal Work Performance - An Analysis of Diary Data
Bremer, V., Funk, B. & Lehr, D., 24.07.2018, Cornell: PsyArXiv, 14 p.Research output: Working paper › Working papers
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Web-based intervention for depressive symptoms in adults with types 1 and 2 diabetes mellitus: a health economic evaluation
Nobis, S., Ebert, D. D., Lehr, D., Smit, F., Buntrock, C., Berking, M., Baumeister, H., Snoek, F., Funk, B. & Riper, H., 04.2018, In: The British Journal of Psychiatry. 212, 4, p. 199-206 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Multikonferenz Wirtschaftsinformatik 2018: Data driven X — Turning Data into Value
Drews, P. (Editor), Funk, B. (Editor), Niemeyer, P. (Editor) & Xie, L. (Editor), 14.03.2018, Lüneburg: Institut für Wirtschaftsinformatik. 2094 p.Research output: Books and anthologies › Conference proceedings › Research
- Published
Predictive modeling in e-mental health: A common language framework
Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, Juni 2018, p. 57-67 11 p.Research output: Journal contributions › Scientific review articles › Research