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
- 2017
- Published
Increasing the Agility of IT Delivery: Five Types of Bimodal IT Organization
Horlach, B., Drews, P., Schirmer, I. & Böhmann, T., 2017, Proceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017. Bui, T. X. & Sprague, R. (eds.). University of Hawaiʻi at Mānoa, p. 5420-5429 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2017-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Internet of Things-Specific Challenges for Enterprise Architectures: A Cross-Case Comparison of Explorative Projects from the smartPORT Initiative
Drews, P., Schirmer, I., Tesse, J., Saxe, S. & Baldauf, U., 2017, AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation. Texas: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2017).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
LivingCare - An autonomously learning, human centered home automation system: Collection and preliminary analysis of a large dataset of real living situations
Eckert, R., Müller, S., Glende, S., Gerka, A., Hein, A. & Welge, R., 2017, Ambient Assisted Living: 9. AAL-Kongress, Frankfurt/M, Germany, April 20 - 21, 2016. Wichert, R. & Mand, B. (eds.). Cham: Springer International Publishing AG, p. 55-72 18 p. (Advanced Technologies and Societal Change).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
Propagating Maximum Capacities for Recommendation
Boubekki, A., Brefeld, U., Lucchesi, C. L. & Stille, W., 2017, KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017 : proceedings. Cham, Schweiz: Springer, p. 72-84 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10505 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Analysing clickstream data: Do paid and organic search affect each other?
Bremer, V. & Funk, B., 04.04.2017, In: International Journal of Electronic Business. 13, 2/3, p. 205-215 11 p., 5.Research output: Journal contributions › Journal articles › 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
- 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
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
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
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