• 2020

    Research article in proceedings (conference)

    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.
    More details BibTeX DOI

    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.
    More details BibTeX DOI

    Thesis (doctoral or post-doctoral)

    Carnein, M. (2020). Machine Learning on Data Streams — Improving the Applicability and Performance of Stream Clustering Algorithms. at the University of Münster.
    More details BibTeX

  • 2019

    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.
    More details BibTeX

    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.
    More details BibTeX

    Research article (journal)

    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.
    More details BibTeX

  • 2018

    Research article (journal)

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

  • 2017

    Research article in proceedings (conference)

    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.
    More details BibTeX DOI

    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.
    More details BibTeX DOI

    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.
    More details BibTeX DOI

    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.
    More details BibTeX

    Working paper

    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.
    More details BibTeX

  • 2016

    Research article in proceedings (conference)

    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.
    More details BibTeX DOI

  • 2015

    Research article in proceedings (conference)

    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.
    More details BibTeX DOI

  • 2014

    Research article in proceedings (conference)

    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.
    More details BibTeX Full text

    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.
    More details BibTeX DOI