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Publications

Listed below are selected publications written by the researchers at the Omni-Channel Lab.

2019

 

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. (Accepted)
This publication in CRIS BibTeX

Carnein, M., & Trautmann, H. (2019). Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE), 2019. (Accepted)
This publication in CRIS BibTeX

2018

 

Carnein, M., & Trautmann, H. (2018). evoStream — Evolutionary Stream Clustering Utilizing Idle Times. Big Data Research, 14, 101–111.
This publication in CRIS BibTeX

Homann, L., Maleszka, B., Martins, D., & Vossen, G. (2018). A Generic Framework for Collaborative Filtering Based on Social Collective Recommendation. In Proceedings of the International Conference on Computational Collective Intelligence (ICCCI 2018), Bristol, UK. (Accepted)
This publication in CRIS BibTeX

Heuchert, M., Barann, B., Cordes, A.-K., & Becker, J. (2018). An IS Perspective on Omni-Channel Management along the Customer Journey: Development of an Entity-Relationship-Model and a Linkage Concept. In Proceedings of the Multikonferenz Wirtschaftsinformatik 2018, Lüneburg, Deutschland.
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Heidekrüger, R., Heuchert, M., Clever, N., & Becker, J. (2018). Towards an Omni-Channel Framework for SME Sales and Service in the B2B Telecommunications Industry. In Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI 2018), Lüneburg, 386–397.
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2017

 

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., 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., 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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2016

 

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

 

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

 

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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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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