• 2019

    Article in Journal

    Carnein, M., & Trautmann, H. (2019). Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE), 2019.
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    Conference Paper

    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.
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  • 2018

    Article in Journal

    Carnein, M., & Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering Utilizing Idle Times. Big Data Research, 14, 101–111.
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  • 2017

    Conference Paper

    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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    Report

    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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  • 2016

    Conference Paper

    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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  • 2015

    Conference Paper

    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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  • 2014

    Conference Paper

    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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