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).

  1. Published

    Guest editorial: Special issue on sports analytics

    Brefeld, U. & Zimmermann, A., 01.11.2017, In: Data Mining and Knowledge Discovery. 31, 6, p. 1577-1579 3 p.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  2. 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/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Distributed robust Gaussian Process regression

    Mair, S. & Brefeld, U., 01.05.2018, In: Knowledge and Information Systems. 55, 2, p. 415-435 21 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations

    Tavakol, M. & Brefeld, U., 30.12.2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18 – 22, 2017; Proceedings, Part II. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer Verlag, Vol. 2. p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10535 LNAI).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Published

    Metaheuristics approach for solving personalized crew rostering problem in public bus transit

    Xie, L., Merschformann, M., Kliewer, N. & Suhl, L., 10.2017, In: Journal of Heuristics. 23, 5, p. 321-347 27 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community

    Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., Mädche, A., Urbach, N. & Ahlemann, F., 01.08.2017, In: Business and Information Systems Engineering. 59, 4, p. 301-308 8 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Simulated annealing approach to nurse rostering benchmark and real-world instances

    Knust, F. & Xie, L., 01.01.2019, In: Annals of Operations Research. 272, 1-2, p. 187-216 30 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  8. Published

    Digital Business Transformation and the Changing Role of the IT Function: Special Issue Editorial

    Urbach, N., Drews, P. & Ross, J., 2017, In: MIS Quarterly Executive. 16, 2, p. ii-iv 3 p.

    Research output: Journal contributionsOther (editorial matter etc.)Research

  9. Published

    Data-driven analyses of electronic text books

    Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearch

  10. Published

    Feature Extraction and Aggregation for Predicting the Euro 2016

    Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review