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4078 Publications
2020 | Journal Article | LibreCat-ID: 6202
Szopinski, D., Schoormann, T., John, T., Knackstedt, R., & Kundisch, D. (2020). Software tools for business model innovation: Current state and future challenges. Electronic Markets, 30(3), 469–494.
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| Files available
2020 | Book Chapter | LibreCat-ID: 16508
Harteis, C., & Caruso, C. (2020). Inwiefern können Praxisphasen im Studium zu einer Theorie-Praxis-Relationierung beitragen? Implikationen für die professionelle Entwicklung angehender Lehrkräfte. . In K. Rheinländer & D. Scholl (Eds.), Verlängerte Praxisphasen in der universitären Lehrerbildung: Spannungsfelder zwischen Theorie, Praxis und der Bestimmung von Professionalisierung (pp. 58–73). Bad Heilbrunn: Klinkhardt.
LibreCat
2020 | Conference Paper | LibreCat-ID: 16726
Razzaghi Kouchaksaraei, H., Shivarpatna Venkatesh, A. P., Churi, A., Illian, M., & Karl, H. (n.d.). Dynamic Provisioning of Network Services on Heterogeneous Resources. In European Conference on Networks and Communications (EUCNC 2020).
LibreCat
2020 | Conference Paper | LibreCat-ID: 16903
Feldmann, M., Khazraei, A., & Scheideler, C. (2020). Time- and Space-Optimal Discrete Clock Synchronization in the Beeping Model. In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA). ACM. https://doi.org/10.1145/3350755.3400246
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| DOI
| arXiv
2020 | Conference Paper | LibreCat-ID: 16933 |
Gottschalk, S., Rittmeier, F., & Engels, G. (2020). Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In Proceedings of the 22nd IEEE International Conference on Business Informatics. Antwerp: IEEE. https://doi.org/10.1109/CBI49978.2020.00022
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| DOI
2020 | Conference Paper | LibreCat-ID: 16934 |
Gottschalk, S., Yigitbas, E., & Engels, G. (2020). Model-based Hypothesis Engineering for Supporting Adaptation to Uncertain Customer Needs. In B. Shishkov (Ed.), Business Modeling and Software Design (Vol. 391, pp. 276–286). Potsdam: Springer International Publishing. https://doi.org/10.1007/978-3-030-52306-0_18
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| DOI
2020 | Conference Paper | LibreCat-ID: 17063
Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). An Adaption Mechanism for the Error Threshold of XCSF. GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–1764. https://doi.org/10.1145/3377929.3398106
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| DOI
2020 | Conference Paper | LibreCat-ID: 17082
Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees for Data Center Applications. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010
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| Download (ext.)
2020 | Mastersthesis | LibreCat-ID: 15770
Warner, D. (2020). On the complexity of local transformations in SDN overlays. Universität Paderborn.
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2020 | Conference Abstract | LibreCat-ID: 15211
Szopinski, D., Schoormann, T., & Kundisch, D. (2020). Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks. In Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI). Potsdam, Germany.
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2020 | Conference Paper | LibreCat-ID: 16219 |
Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020). Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium: IEEE.
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2020 | Journal Article | LibreCat-ID: 16290 |
Bieker, K., Peitz, S., Brunton, S. L., Kutz, J. N., & Dellnitz, M. (2020). Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics, 34, 577–591. https://doi.org/10.1007/s00162-020-00520-4
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| Download (ext.)
2020 | Conference Paper | LibreCat-ID: 16363
Hansmeier, T., Kaufmann, P., & Platzner, M. (2020). Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 125–126). New York, NY, United States: Association for Computing Machinery (ACM). https://doi.org/10.1145/3377929.3389968
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| DOI
2020 | Conference Paper | LibreCat-ID: 16400
Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl, H. (2020). Cloud-Native Threat Detection and Containment for Smart Manufacturing. In IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE.
LibreCat
2020 | Conference Paper | LibreCat-ID: 13868
Pukrop, S., Mäcker, A., & Meyer auf der Heide, F. (2020). Approximating Weighted Completion Time for Order Scheduling with Setup Times. In Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM).
LibreCat
2020 | Conference Paper | LibreCat-ID: 13584
Szopinski, D., Schoormann, T., & Kundisch, D. (2020). Criteria as a prelude for guiding taxonomy evaluation. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). Maui, Hawaii.
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| Files available
2020 | Bachelorsthesis | LibreCat-ID: 16940
Relard, S. (2020). Experimente in der Wirtschaftsinfromatik zu Kreativität - Ein systematischer Literaturüberblick und Implikationen für Geschäftsmodellmodellierungstools.
LibreCat
2020 | Bachelorsthesis | LibreCat-ID: 16941
Kemadjou, R. N. (2020). Visualisierung von Taxonomien: Ein systematischer Überblick.
LibreCat
2020 | Bachelorsthesis | LibreCat-ID: 15769
Wolfförster, L. (2020). Taxonomie zu Taxonomie-Nutzungsgründen.
LibreCat
2020 | Mastersthesis | LibreCat-ID: 20790
Patzer, C. (2020). Entwicklung und Vergleich von Messkriterien anhand statistischer Methoden zur Optimierung der Leistungserbringung im IT-Unternehmen Diebold Nixdorf im Global Service Delivery Management.
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