Publikationen



2020

Burmeister, F., Huth, D., Drews, P., Schirmer, I., & Matthes, F. (2020). Enhancing Information Governance with Enterprise Architecture Management: Design Principles Derived from Benefits and Barriers in the GDPR Implementation. in Proceedings of HICSS 2020
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Horlach, B., Drechsler, A., Schirmer, I., & Drews, P. (2020). Everyone’s Going to be an Architect: Design Principles for Architectural Thinking in Agile Organizations. in Proceedings of HICSS 2020
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Raabe, J-P., Horlach, B., Drews, P., & Schirmer, I. (2020). Digital Innovation Units: Exploring Types, Linking Mechanisms and Evolution Strategies in Bimodal IT Setups. in Proceedings of WI 2020
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2019

Becker, D. (2019). Possibilities to improve online mental health treatment: Recommendations for future research and developments. in K. Arai, S. Kapoor, & R. Bhatia (Hrsg.), Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1 (S. 91-112). (Advances in Intelligent Systems and Computing; Band 886). Springer Verlag. DOI:
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Brefeld, U., Lasek, J., & Mair, S. (2019). Probabilistic movement models and zones of control. Machine Learning, 108(1), 127-147. DOI:
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Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., ... Hurley, N. (Hrsg.) (2019). Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III. (Lecture Notes in Computer Science; Band 11053). Cham: Springer. DOI:
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2019

Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A., & Pinelli, F. (2019). Foreword to applied data science, demo, and nectar tracks. in U. Brefeld, E. Curry, E. Daly, B. Macnamee, A. Marascu, & F. Pinelli (Hrsg.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018: proceedings (Band 3, S. V-VI). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11053). Cham: Springer. DOI:
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Brefeld, U. (Hrsg.), Davis, J., Van Haaren, J., & Zimmermann, A. (2019). Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. (Lecture Notes in Artificial Intelligence; Nr. 11330). Springer Nature. DOI:
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2019

Bremer, V. , Funk, B., & Riper, H. (2019). Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data. Depression Research and Treatment, 2019, [3481624]. DOI:
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Bremer, V. , Becker, D., Genz, T., Funk, B. , & Lehr, D. (2019). A two-step approach for the prediction of mood levels based on diary data. in U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, M. Berlingerio, ... N. Hurley (Hrsg.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland (S. 626-629). (Lecture Notes in Computer Science (LNCS); Nr. 11053). Cham: Springer International Publishing AG. DOI:
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Burmeister, F., Drews, P., & Schirmer, I. (2019). A Privacy-driven Enterprise Architecture Meta-Model for Supporting Compliance with the General Data Protection Regulation. in Proceedings of the 52nd Hawaii International Conference on System Sciences (S. 6052-6061). Honolulu: University of Hawaiʻi at Mānoa.
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Burmeister, F., Drews, P., & Schirmer, I. (2019). An Ecosystem Architecture Meta-Model for Supporting Ultra-Large Scale Digital Transformations. in 25th Americas Conference on Information Systems, AMCIS 2019: Cancún, Mexico, August 15-17, 2019 Atlanta: Association for Information Systems.
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Burmeister, F., Drews, P., & Schirmer, I. (2019). Leveraging Architectural Thinking for Large-Scale E-Government Projects. in H. Krcmar, & J. Fedorowicz (Hrsg.), ICIS 2019 Proceedings [3126] Association for Information Systems.
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de Toledo, P., Joppien, C., Paz Sesmero, M., & Drews, P. (2019). Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets. in 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (S. 354-357). IEEE. DOI:
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Dick, U. , & Brefeld, U. (2019). Learning to Rate Player Positioning in Soccer. Big Data, 7(1), 71-82. DOI:
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Drews, P. (2019). Beschleuniger statt Bremsklotz. return, 2019(5), 38-39.
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Ebenfeld, L. , Kleine-Stegemann, S. , Lehr, D., Ebert, D. D., Funk, B., Riper, H., & Berking, M. (2019). A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study. ScienceDirect, Elsevier, [100296 ]. DOI:
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Fitzsimmons-Craft, E. E., Firebaugh, M-L., Graham, A. K., Eichen M., D., Monterubio, G., Balantekin, K. N., ... Wilfley, D. (2019). State-wide university implementation of an online platform for eating disorders screening and intervention. Psychological Services, 16(2), 239-249. DOI:
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Fitzsimmons-Craft, E. E., Balantekin, K. N., Graham, A. K., Smolar, L., Park, D., Mysko, C., ... Wilfley, D. E. (2019). Results of disseminating an online screen for eating disorders across the U.S.: Reach, respondent characteristics, and unmet treatment need. The International journal of eating disorders, 52(6), 721-729. DOI:
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Funk, B. , & Wuppermann, M. (2019). Datenkompetenzen in Kooperationen fördern. DUZ Wissenschaft & Management, 2(1), 26-29.
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Weitere Publikationen im Forschungsindex (FOX)


Herausgegebene Bücher
Information Technology in Environmental Engineering, Autoren  Burkhardt Funk, Peter Niemeyer,  Jorge Marx Gómez
Information Technology in Environmental Engineering
Buchneuerscheinung der Herren Dr. B. Funk, Dr. P. Niemeyer, Dr. J. Marx Gómez und Dr. F. Teuteberg: Geschäftsprozessintegration mit SAP
Geschäftsprozessintegration mit SAP
Modellierung und Implementierung von Geschaeftsprozessen in verteilten Systemen
Modellierung und Implementierung von Geschäftsprozessen in verteilten Systemen