Former Research Assistant
Data Science: Statistics and Optimization
Leonardo Campus 3
48149
Münster
ShortURL: erc.is/p/carnein
Leonardo Campus 3
48149
Münster
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD '19), Würzburg, Germany, 137–143.
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Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In Proceedings of the 14th Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece, 80–95.
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Carnein, M. (2020). Machine Learning on Data Streams — Improving the Applicability and Performance of Stream Clustering Algorithms. at the University of Münster.
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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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Carnein, M., & Trautmann, H. (2019). Customer Segmentation Based on Transactional Data Using Stream Clustering. In Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '19), Macau, China, 280–292.
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Carnein, M., & Trautmann, H. (2019). Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE), 61(3), 277–297.
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Carnein, M., & Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering Utilizing Idle Times. Big Data Research, 14, 101–111.
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Carnein, M., Assenmacher, D., & Trautmann, H. (2017). An Empirical Comparison of Stream Clustering Algorithms. In Proceedings of the ACM International Conference on Computing Frontiers (CF '17), Siena, Italy, 361–365.
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Carnein, M., Assenmacher, D., & Trautmann, H. (2017). Stream Clustering of Chat Messages with Applications to Twitch Streams. In de Cesare, S., & Ulrich, F. (Eds.), Proceedings of the 36th International Conference on Conceptual Modeling (ER'17) (pp. 79–88). Springer International Publishing.
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Carnein, M., Heuchert, M., Homann, L., Trautmann, H., Vossen, G., Becker, J., & Kraume, K. (2017). Towards Efficient and Informative Omni-Channel Customer Relationship Management. In de Cesare, S., & Ulrich, F. (Eds.), Proceedings of the 36th International Conference on Conceptual Modeling (ER'17) (pp. 69–78). Lecture Notes in Computer Science: Vol. 10651. Springer International Publishing.
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Carnein, M., Homann, L., Trautmann, H., Vossen, G., & Kraume, K. (2017). Customer Service in Social Media — An Empirical Study of the Airline Industry. In Bernhard, M. a. N. R. a. H. S. a. M. K. a. A. T. a. O. K. a. M. W. (Ed.), Proceedings of the 17th Conference on Database Systems for Business, Technology, and Web (BTW '17) (pp. 33–40). Lecture Notes in Informatics (LNI): Vol. P-266. Gesellschaft für Informatik.
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Trautmann, H., Vossen, G., Homann, L., Carnein, M., & Kraume, K. (2017). Challenges of Data Management and Analytics in Omni-Channel CRM. In Becker, J., Backhaus, K., Dugas, M., Hellingrath, B., Hoeren, T., Klein, S., Kuchen, H., Trautmann, H., & Vossen, G. (Eds.), ERCIS Working Papers: Vol. 28. Münster: European Research Center for Information Systems.
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Carnein, M., Schöttle, P., & Böhme, R. (2016). Telltale Watermarks for Counting JPEG Compressions. In Proceedings of the IS&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI '16), San Francisco, CA, 1–10.
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Carnein, M., Schöttle, P., & Böhme, R. (2015). Forensics of High-Quality JPEG Images with Color Subsampling. In Proceedings of the IEEE International Workshop on Information Forensics and Security (WIFS '15), Rome, Italy, 1–6.
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Carnein, M., Quiring, E., Haack, A., Möhring, A., & Becker, J. (2014). Laiengerechte Erzeugung von 3D-Animationen am Beispiel von textuellen Unfallbeschreibungen. In Proceedings of the 17th International Legal Informatics Symposium (IRIS '14), Salzburg, Austria, 473–480.
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Carnein, M., Schöttle, P., & Böhme, R. (2014). Predictable Rain? Steganalysis of Public-key Steganography Using Wet Paper Codes. In Unterweger, A., Uhl, A., Katzenbeisser, S., Kwitt, R., & Piva, A. (Eds.), Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security (IH & MMSec '14) (pp. 97–108). New York, NY, USA: ACM.
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