2022

 

Research article (book contribution)

Vossen, G. (2022). Search Engines and Algorithms. In Roth, S., & Caorsten, H. (Eds.), Handbuch Digitalisierung (1st ed., pp. 525–541). München: Verlag Franz Vahlen.
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Research article (journal)

Pohlmann, P., Vossen, G., Everding, J., & Scheiper, J. (2022). Künstliche Intelligenz, Bias und Versicherungen — eine technische und rechtliche Analyse. Zeitschrift für die gesamte Versicherungswissenschaft, 111(2), 135–175.
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2020

 

Research article in proceedings (conference)

Maleszka, M., Maleszka, B., Krol, D., Hernes, M., Martins, D., Homann, L., & Vossen, G. (2020). A Modular Diversity Based Reviewer Recommendation System. In Proceedings of the 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Phuket, Thailand. (accepted / in press (not yet published))
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Research article (journal)

Rothmeier, K., Pflanzl, N., Hüllmann, J. A., & Preuss, M. (2020). Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game. IEEE Transactions on Games, 2020.
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2019

 

Research article (book contribution)

Hümmecke, A., Lechtenbörger, J., & Vossen, G. (2019). Digitale Lehre — Der FB4 als Vorreiter. In Theurl, T. (Ed.), 50 Jahre Wirtschaftswissenschaftliche Fakultät der WWU Münster — Historie und Perspektiven (pp. 305–309). Münster: Aschendorff Verlag.
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Hümmecke, A., Lechtenbörger, J., & Vossen, G. (2019). Digitale Lehre — der FB4 als Vorreiter. In Theurl, T. (Ed.), 50 Jahre Wirtschaftswissenschaftliche Fakultät der WWU Münster — Historie und Perspektiven (1st ed., pp. 305–309). Aschendorff-Verlag.
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Lechtenbörger, J., & Vossen, G. (2019). Structuring What You Are Doing: 20 Years of Business Process Modelling. In Bergener, K., Räckers, M., & Stein, A. (Eds.), The Art of Structuring: Bridging the Gap Between Information Systems Research and Practice (pp. 227–238).
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Mohan, C., Ooi, B., & Vossen, G. (2019). Distributed Computing with Permissioned Blockchains and Databases. In Schloss, D. &. L.-Z. f. I. (Ed.), Dagstuhl-Report (9th ed., pp. 69–94). Dagstuhl-Report: Vol. 9. Wadern: Dagstuhl Publishing.
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Vossen, G., & Lechtenbörger, J. (2019). Structuring What You Are Doing: 20 Years of Business Process Modeling. In Bergener, K., Räckers, M., & Stein, A. (Eds.), The Art of Structuring — Bridging the Gap Between Information Systems Research and Practice (1st ed., pp. 227–238). Switzerland: Springer Nature.
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Research article in proceedings (conference)

Carnein, M., Homann, L., Trautmann, H., & Vossen, G. (2019). A Recommender System Based on Omni-Channel Customer Data. In Proceedings of the 21st IEEE Conference on Business Informatics (CBI' 19), Moscow, Russia, 65–74.
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Jürgens, M., Meisy, D., Möllers, D., Nolte, F., Storck, E., Vossen, G., Werner, C., & Winkelmann, H. (2019). Bluetooth Mesh Networks for Indoor Localization. In Proceedings of the 20th IEEE International Conference on Mobile Data Management (MDM) 2019, Hong Kong China, 397–402.
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Lechtenbörger, J. (2019). Simplifying license attribution for OER with emacs-reveal. In Pinkwart, N., & Konert, J. (Eds.), DELFI 2019 (pp. 205–216). Bonn: Gesellschaft für Informatik e.V.
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Martins, D., Lechtenbörger, J., & Vossen, G. (2019). Supporting Customers with Limited Budget in Data Marketplaces. In Proceedings of the 6th IEEE Latin American Conference on Computational Intelligence (LA-CCI), Guayaquil, Ecuador, 201–206.
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Martins, D., Lechtenbörger, J., & Vossen, G. (2019). Supporting Customers with Limited Budget in Data Marketplaces. In Proceedings of the 6th IEEE Latin American Conference on Computational Intelligence LA-CCI, Guayaquil, Ecuador. (online first)
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Research article (journal)

Homann, L., Martins, D., Vossen, G., & Kraume, K. (2019). Enhancing Traditional Recommender Systems via Social Communities. Vietnam Journal of Computer Science, 6(1), 3–16.
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Homann, L., Martins, D., Vossen, G., & Kraume, K. (2019). Enhancing Traditional Recommender Systems via Social Communities. Vietnam Journal of Computer Science, 6. (accepted / in press (not yet published))
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Lechtenbörger, J. (2019). Erstellung und Weiterentwicklung von Open Educational Resources im Selbstversuch. MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, 2019(34), 101–117.
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Lechtenbörger, J. (2019). Emacs-reveal: A software bundle to create OER presentations. Journal of Open Source Education, 2(18).
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Martins, D. (2019). Reverse engineering database queries from examples: State-of-the-art, challenges, and research opportunities. Information Systems, 83, 89–100.
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Nolte, F., & Vossen, G. (2019). Gamification in der Unternehmensplanung. DOAG Business News, 1, 20–22.
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Vossen, G. (2019). Daten, Analytics, KI: Wird die Zukunft naughty oder nice?. DOAG Business News, 6(Fall 2019), 24–26.
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Westerkamp, P., & Vossen, G. (2019). Reporting- und Analyseinfrastrukturen in Banken. DigiPraktiker — Digitalisierung Banking & Finance, 2, 8–19.
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Thesis (doctoral or post-doctoral)

Martins, D. (2019). Enabling non-technical users to query and purchase data. at the University of Mü}nster, Germany. Münster.
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