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
Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector
Schmidt, J., Drews, P. & Schirmer, I., 01.01.2018, Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. Bui, T. X. (ed.). University of Hawaiʻi at Mānoa, p. 5004-5013 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2018-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Narrative consistency across replays of pro-social interactive digital narratives
Barbara, J., 01.01.2018, Interactive Storytelling - 11th International Conference on Interactive Digital Storytelling, ICIDS 2018, Proceedings. Rouse, R., Haahr, M. & Koenitz, H. (eds.). Cham: Springer Nature Switzerland AG, p. 154-159 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11318 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Agile Portfolio Management Patterns: A Research Design
Horlach, B., Schirmer, I., Böhmann, T. & Drews, P., 2018, XP '18: Proceedings of the 19th International Conference on Agile Software Development: Companion. New York: Association for Computing Machinery, Inc, 6 p. a9. (ACM International Conference Proceeding Series; vol. Part F147763).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Charting the Emerging Business Ecosystem of Fintechs and Banks: Seven Types of Collaborative Business Models
Schmidt, J., Drews, P. & Schirmer, I., 2018, Twenty-Sixth European Conference on Information Systems (ECIS2018), Portsmouth,UK, 2018. Portsmouth: University of Portsmouth, 15 p. 1592. (Research Papers; vol. 104).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Infinite Mixtures of Markov Chains
Reubold, J., Boubekki, A., Strufe, T. & Brefeld, U., 2018, New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017 : held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers. Appice, A., Loglisci, C., Manco, G. & Masciari, E. (eds.). Cham: Springer, p. 167-181 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10785 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
IT Governance in Scaling Agile Frameworks
Horlach, B., Böhmann, T., Schirmer, I. & Drews, P., 2018, Tagungsband Multikonferenz Wirtschaftsinformatik 2018: Data driven X - Turning Data into Value. Drews, P., Funk, B., Niemeyer, P. & Xie, L. (eds.). Leuphana Universität Lüneburg, Vol. 5. p. 1789-1800 12 p. (MKWI 2018 - Multikonferenz Wirtschaftsinformatik; vol. 2018-March).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Leveraging Big Data and Analytics for Auditing: Towards a Taxonomy
Krieger, F. & Drews, P., 2018, Proceedings of ICIS 2018: Leveraging Big Data and Analytics for Audi. AIS eLibrary, 9 p. (International Conference on Information Systems 2018, ICIS 2018).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data
Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing AG. 231 p. (Cognitive Systems Monograph; vol. 35)Research output: Books and anthologies › Monographs › Research › peer-review
- 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
- 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
- Published
Predicting the Individual Mood Level based on Diary Data
Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review