Institute of Information Systems
Organisational unit: Institute
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business
- 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
- 2018
- Published
Multi-Agent Path Finding with Kinematic Constraints for Robotic Mobile Fulfillment Systems
Merschformann, M., Xie, L. & Erdman, D., 2018, arXiv, 38 p. (ArXiv.org).Research output: Working paper › Working papers
- Published
Supporting Diffusion of IoT Solutions Exemplified by the ChainPORT Initiative
Tesse, J., Schirmer, I., Drews, P., Saxe, S. & Baldauf, U., 2018, Proceedings of the 24th Americas Conference on Information Systems AMCIS 2018: Digital Disruption, AMCIS 2018. Association for Information Systems, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2018).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
The impact of partially missing communities on the reliability of centrality measures
Martin, C., 2018, Complex Networks & Their Applications VI: Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Springer, Vol. 1. p. 41-52 12 p. (Studies in Computational Intelligence; vol. 689).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2017
- 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, 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/works › Article in conference proceedings › Research › peer-review
- Published
Bimodal Enterprise Architecture Management: The emergence of a new EAM function for a BizDevOps-based fast IT
Drews, P., Schirmer, I., Horlach, B. & Tekaat, C., 02.11.2017, Proceedings - 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2017: 10–13 October 2017 Quebec City, Quebec, Canada, Proceedings. Lapalme, J., Halle, S. & Dijkman, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 57-64 8 p. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; vol. 2017-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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 contributions › Other (editorial matter etc.) › Research
- Published
Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen: Schwerpunkt Analyse sequenzieller Daten
Funk, B., Dr. Rettenmeier, M. & Lang, T., 10.2017, In: Wirtschaftsinformatik & Management. 9, 5, p. 16-25 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review
- Published
What’s Hot: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data
Hoogendoorn, M. & Funk, B., 28.09.2017Research output: other publications › Articles in scientific forums or blogs › Research › peer-review
- 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 contributions › Journal articles › Research › peer-review