Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
Organisation profile
At the Institute of Information Systems (IIS) of the Leuphana University we work on innovative topics in Information Systems and Data Science. The main focus is on digital transformation, e-health, e-commerce, business analytics, sports and e-learning. Methodologically, we focus on the development and use of machine learning and artificial intelligence methods for the modeling and solution of data-driven decision problems. Additional quantitative (e.g. graphs, optimization) and qualitative (e.g. interviews, reference modeling) methods complement this spectrum. Cooperating with other universities, companies, and institutions of the civil society plays an important role in our work.
Main research areas
At the Institute of Information Systems there are currently 6 professors and numerous research assistants. Our main research areas include digital transformation, e-health, e-commerce, business analytics, sports, and e-learning. Details can be found on the websites of the work groups and in the central research database of Leuphana. The Institute of Information Systems organized a number of events and conferences at Leuphana (e.g. ITEE 2013, final round of the German National Computer Science Competition 2014, MKWI 2018).
- Published
Feature selection for density level-sets
Kloft, M., Nakajima, S. & Brefeld, U., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (eds.). Heidelberg: Springer, p. 692-704 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Fehler beim Controlling
Weinrich, G., 1988, In: Harvard Business Manager. 3, p. 119-123 5 p.Research output: Journal contributions › Journal articles › Research
- Published
Finanzanalyse und Finanzrating
Weinrich, G. & Jacobs, J., 01.01.2007, Finanzrating: Gestaltungsmöglichkeiten zur Verbesserung der Bonität. Achleitner, A.-K. (ed.). Wiesbaden: Dr. Gabler Verlag, p. 15-53 39 p.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Finanzmathematische Effektivzins-Berechnungsmethoden
Kober, J., Knöll, H.-D. & Rometsch, U., 1992, Mannheim: BI Wissenschaftsverlag. 206 p.Research output: Books and anthologies › Monographs › Transfer
- Published
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
‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units
Raabe, J.-P., Horlach, B., Schirmer, I. & Drews, P., 2020, 26th Americas Conference on Information Systems, AMCIS 2020: Strategic and competitive uses of IT. A. F. I. S. (ed.). Atlanta: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2020).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Foreword to applied data science, demo, and nectar tracks
Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F., 01.01.2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F. (eds.). Cham: Springer, Vol. 3. p. V-VI 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053).Research output: Contributions to collected editions/works › Other › Research
- Published
Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses
Xie, L., Li, H. & Luttmann, L., 01.06.2023, In: European Journal of Operational Research . 307, 2, p. 713-730 18 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Fostering Inclusivity – Towards Principles for Inclusive Information Systems Design
Vimalan, N., Zimmer, M. P. & Drews, P., 2024, Wirtschaftsinformatik 2024 Proceedings. Flath, C. M., Gust, G., Thiesse, F. & Winkelmann, A. (eds.). The Association for Information Systems (AIS), 15 p. 85Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Frame-based Data Factorizations
Mair, S., Boubekki, A. & Brefeld, U., 25.07.2017, 34th International Conference on Machine Learning, ICML 2017. Precup, D. & Teh, Y. W. (eds.). Red Hook: Curran Associates, p. 2305-2313 9 p. (Proceedings of Machine Learning Research; vol. 70).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review