Matthias Carnein

I am a Machine Learning Engineer and Data Scientist at the Provinzial insurance in Germany. Before that, I obtained my doctorate degree from the University of Münster, Germany where I worked at the group for Data Science: Statistics and Optimization.

Positions

since 09/2020
Machine Learning Engineer / Data Scientist
Provinzial Versicherung AG
03/2016 – 08/2020
Research Assistant
Group for Data Science: Statistics and Optimization at the University of Münster, Germany
03/2016 – 02/2019
Data Scientist
ERCIS Omni-Channel Lab — powered by Arvato
2017
Lecturer
Data Science certificate programme at the Münster University Continuing Education (WWU Weiterbildung gGmbH)
01/2016 – 02/2016
Graduate Student Assistant
Group for Data Science: Statistics and Optimization at the University of Münster, Germany
04/2014 – 12/2015
Graduate Student Assistant
IT Security Group at the University of Münster, Germany
11/2012 – 03/2014
Student Assistant
Information Systems and Information Management Group at the University of Münster, Germany

Education

03/2016 – 01/2020
Doctorate (Dr. rer. pol.)
Doctoral candidate in Information Systems at the University of Münster, Germany.
Thesis: "Machine Learning on Data Streams — Improving the Applicability and Performance of Stream Clustering Algorithms"
[News Article] [News Article] [News Article] [News Article] [News Article] [News Article] [News Article]
10/2013 – 09/2015
Master of Science
Master studies in Information Systems at the University of Münster, Germany
10/2010 – 09/2013
Bachelor of Science
Bachelor studies in Information Systems at the University of Münster, Germany

Conferences & Events

May 2020 14th Learning and Intelligent Optimization Conference (LION 2020) in Athens, Greece
September 2019 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD ’19) in Würzburg, Germany
July 2019 21st IEEE Conference on Business Informatics (CBI ’19) in Moscow, Russia, Best Paper Award
April 2019 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19) in Macau, China
February 2019 Visiting scholar at the University of Waikato in Hamilton, New Zealand, Marie Skłodowska-Curie Fellowship
January 2019 Visiting scholar at the Queensland University of Technology in Brisbane, Australia, Marie Skłodowska-Curie Fellowship
July 2018 1st Metaheuristics Summer School (MESS) in Sicily, Italy
November 2017 36th International Conference on Conceptual Modeling (ER ’17) in Valencia, Spain
August 2017 German-Brazilian Workshop on Information Systems in Logistics and Production Engineering in Recife, Brazil
May 2017 ACM International Conference on Computing Frontiers (CF ’17) in Siena, Italy
March 2017 17th Conference on Database Systems for Business, Technology, and Web (BTW ’17) in Stuttgart, Germany
9th International Conference on Evolutionary Multi-Criterion Optimization (EMO ’17) in Münster, Germany
June 2016 11th Madrid UPM Advanced Statistics and Data Mining Summer School in Madrid, Spain
Februrary 2016
IS&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI ’16) in San Francisco, USA
November 2015 7th IEEE International Workshop on Information Forensics and Security (WIFS ’15) in Rome, Italy
June 2014 2nd ACM Workshop on Information Hiding and Multimedia Security (IH & MMSec ’14) in Salzburg, Austria

Publications

Carnein M, Trautmann H, Bifet A and Pfahringer B (2020), "confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms", In 14th Learning and Intelligent Optimization Conference (LION 2020). Cham , pp. 80-95. Springer International Publishing.
[BibTeX] [DOI] [Details] 
@inproceedings{LION20,
	author = {Matthias Carnein AND Heike Trautmann AND Albert Bifet AND Bernhard Pfahringer},
	editor = {Kotsireas, Ilias S. AND Pardalos, Panos M.},
	title = {confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms},
	booktitle = {14th Learning and Intelligent Optimization Conference (LION 2020)},
	publisher = {Springer International Publishing},
	year = {2020},
	pages = {80--95}
}
Carnein M (2020), "Machine Learning on Data Streams — Improving the Applicability and Performance of Stream Clustering Algorithms". Thesis at: University of Münster.
[BibTeX] 
@phdthesis{Dissertation,
	author = {Matthias Carnein},
	title = {Machine Learning on Data Streams --- Improving the Applicability and Performance of Stream Clustering Algorithms},
	school = {University of Münster},
	year = {2020}
}
Carnein M, Trautmann H, Bifet A and Pfahringer B (2020), "Towards Automated Configuration of Stream Clustering Algorithms", In Workshop on Automated Data Science at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD '19). Würzburg, Germany , pp. 137-143. Springer International Publishing.
[BibTeX] [DOI] [Details] 
@inproceedings{ECMLPKDD19,
	author = {Matthias Carnein and Heike Trautmann and Albert Bifet and Bernhard Pfahringer},
	editor = {Cellier, Peggy and Driessens, Kurt},
	title = {Towards Automated Configuration of Stream Clustering Algorithms},
	booktitle = {Workshop on Automated Data Science at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD '19)},
	publisher = {Springer International Publishing},
	year = {2020},
	pages = {137--143},
	doi = {10.1007/978-3-030-43823-4_12}
}
Carnein M, Homann L, Trautmann H and Vossen G (2019), "A Recommender System Based on Omni-Channel Customer Data", In Proceedings of the 21st IEEE International Conference on Business Informatics (CBI '19). Moscow, Russia , pp. 65-74. Best Paper Award
[BibTeX] 
@inproceedings{CBI19,
	author = {Matthias Carnein and Leschek Homann and Heike Trautmann and Gottfried Vossen},
	title = {A Recommender System Based on Omni-Channel Customer Data},
	booktitle = {Proceedings of the 21st IEEE International Conference on Business Informatics (CBI '19)},
	year = {2019},
	pages = {65--74},
	doi = {10.1109/cbi.2019.00015}
}
Carnein M and 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). Cham , pp. 280-292. Springer International Publishing.
[BibTeX] [Details] [DOI] [News Article] 
@inproceedings{PAKDD19,
	author = {Matthias Carnein and Heike Trautmann},
	editor = {Yang, Qiang and Zhou, Zhi-Hua and Gong, Zhiguo and Zhang, Min-Ling and Huang, Sheng-Jun},
	title = {Customer Segmentation Based on Transactional Data Using Stream Clustering},
	booktitle = {Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '19)},
	publisher = {Springer International Publishing},
	year = {2019},
	pages = {280--292},
	doi = {10.1007/978-3-030-16148-4_22}
}
Carnein M and Trautmann H (2019), "Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms", Business & Information Systems Engineering (BISE)., 1, 2019. Vol. 61, pp. 277-297.
[BibTeX] [DOI] [Details] 
@article{BISE19,
	author = {Matthias Carnein and Heike Trautmann},
	title = {Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms},
	journal = {Business & Information Systems Engineering (BISE)},
	year = {2019},
	volume = {61},
	pages = {277--297},
	doi = {10.1007/s12599-019-00576-5}
}
Carnein M and Trautmann H (2018), "evoStream — Evolutionary Stream Clustering Utilizing Idle Times", Big Data Research., 5, 2018. Vol. 14, pp. 101 - 111.
[BibTeX] [DOI] [Details] 
@article{BDR18,
	author = {Matthias Carnein and Heike Trautmann},
	title = {evoStream --- Evolutionary Stream Clustering Utilizing Idle Times},
	journal = {Big Data Research},
	year = {2018},
	volume = {14},
	pages = {101 -- 111},
	doi = {10.1016/j.bdr.2018.05.005}
}
Carnein M, Assenmacher D and Trautmann H (2017), "Stream Clustering of Chat Messages with Applications to Twitch Streams", In Proceedings of the 36th International Conference on Conceptual Modeling (ER '17). Valencia, Spain, 11, 2017. , pp. 79-88. Springer International Publishing.
[BibTeX] [DOI] [Details] 
@inproceedings{ER17Twitch,
	author = {Carnein, Matthias and Assenmacher, Dennis and Trautmann, Heike},
	title = {Stream Clustering of Chat Messages with Applications to Twitch Streams},
	booktitle = {Proceedings of the 36th International Conference on Conceptual Modeling (ER '17)},
	publisher = {Springer International Publishing},
	year = {2017},
	pages = {79--88},
	doi = {10.1007/978-3-319-70625-2_8}
}
Carnein M, Heuchert M, Homann L, Trautmann H, Vossen G, Becker J and Kraume K (2017), "Towards Efficient and Informative Omni-Channel Customer Relationship Management", In Proceedings of the 36th International Conference on Conceptual Modeling (ER '17). Valencia, Spain, 11, 2017. , pp. 69-78. Springer International Publishing.
[BibTeX] [DOI] 
@inproceedings{ER17Omni,
	author = {Carnein, Matthias and Heuchert, Markus and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried and Becker, Jörg and Kraume, Karsten},
	title = {Towards Efficient and Informative Omni-Channel Customer Relationship Management},
	booktitle = {Proceedings of the 36th International Conference on Conceptual Modeling (ER '17)},
	publisher = {Springer International Publishing},
	year = {2017},
	pages = {69--78},
	doi = {10.1007/978-3-319-70625-2_7}
}
Carnein M, Assenmacher D and Trautmann H (2017), "An Empirical Comparison of Stream Clustering Algorithms", In Proceedings of the ACM International Conference on Computing Frontiers (CF '17). Siena, Italy, 5, 2017. , pp. 361 - 365. ACM.
[BibTeX] [DOI] 
@inproceedings{CF17,
	author = {Matthias Carnein and Dennis Assenmacher and Heike Trautmann},
	title = {An Empirical Comparison of Stream Clustering Algorithms},
	booktitle = {Proceedings of the ACM International Conference on Computing Frontiers (CF '17)},
	publisher = {ACM},
	year = {2017},
	pages = {361 -- 365},
	doi = {10.1145/3075564.3078887}
}
Carnein M, Homann L, Trautmann H, Vossen G and Kraume K (2017), "Customer Service in Social Media: An Empirical Study of the Airline Industry", In Proceedings of the 17th Conference on Database Systems for Business, Technology, and Web (BTW '17). Stuttgart, Germany, 3, 2017. , pp. 33-40. Gesellschaft für Informatik e.V..
[BibTeX] [News Article] 
@inproceedings{BTW17,
	author = {Matthias Carnein and Leschek Homann and Heike Trautmann and Gottfried Vossen and Karsten Kraume},
	editor = {Mitschang, Bernhard AND Nicklas, Daniela AND Leymann, Frank AND Schöning, Harald AND Herschel, Melanie AND Teubner, Jens AND Härder, Theo AND Kopp, Oliver AND Wieland, Matthias},
	title = {Customer Service in Social Media: An Empirical Study of the Airline Industry},
	booktitle = {Proceedings of the 17th Conference on Database Systems for Business, Technology, and Web (BTW '17)},
	publisher = {Gesellschaft für Informatik e.V.},
	year = {2017},
	pages = {33--40}
}
Trautmann, H., Vossen, G., Homann, L., Carnein, M. and Kraume, K. Challenges of Data Management and Analytics in Omni-Channel CRM. Tech. rep. 28. Münster, Germany: European Research Center for Information Systems, 2017.
[BibTeX] 
@TechReport{ERCISWP17,
  author      = {Heike Trautmann and Gottfried Vossen and Leschek Homann and Matthias Carnein and Karsten Kraume},
  title       = {Challenges of Data Management and Analytics in Omni-Channel CRM},
  institution = {European Research Center for Information Systems},
  year        = {2017},
  address     = {Münster, Germany},
  editor      = {Jörg Becker and Klaus Backhaus and Martin Dugas and Bernd Hellingrath and Thomas Hoeren and Stefan Klein and Herbert Kuchen and Heike Trautmann and Gottfried Vossen},
  series      = {ERCIS Working Papers},
  volume      = {28},
}
Carnein, M., Schöttle, P. and Böhme, R. ‘Telltale Watermarks for Counting JPEG Compressions’. In: Proceedings of IS&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI ’16). 8. San Francisco, CA, 2016, pp. 1-10.
[BibTeX] [DOI] 
@InProceedings{EI16,
  author    = {Matthias Carnein and Pascal Schöttle and Rainer Böhme},
  title     = {Telltale Watermarks for Counting JPEG Compressions},
  booktitle = {Proceedings of IS\&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI’16)},
  year      = {2016},
  number    = {8},
  location  = {San Francisco, CA},
  pages     = {1--10},
  doi       = {10.2352/ISSN.2470-1173.2016.8.MWSF-072},
  issn      = {2470-1173},
}
Carnein, M., Schöttle, P. and Böhme, R. ‘Forensics of High-Quality JPEG Images with Color Subsampling’. In: Proceedings of the 7th IEEE International Workshop on Information Forensics and Security (WIFS '15). Rome, Italy, Nov. 2015, pp. 1-6.
[BibTeX] [DOI] 
@InProceedings{WIFS15,
  author    = {Matthias Carnein and Pascal Schöttle and Rainer Böhme},
  title     = {Forensics of High-Quality JPEG Images with Color Subsampling},
  booktitle = {Proceedings of the 7th IEEE International Workshop on Information Forensics and Security (WIFS '15)},
  year      = {2015},
  publisher = {IEEE},
  location  = {Rome, Italy},
  month     = {11},
  pages     = {1--6},
  doi       = {10.1109/WIFS.2015.7368556},
}
Carnein, M., Schöttle, P. and Böhme, R. ‘Predictable Rain? Steganalysis of Public-key Steganography Using Wet Paper Codes’. In: Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security (IH & MMSec ’14). Salzburg, Austria, 2014, pp. 97-108.
[BibTeX] [DOI] 
@InProceedings{IH14,
  author    = {Matthias Carnein and Pascal Schöttle and Rainer Böhme},
  title     = {Predictable Rain? Steganalysis of Public-key Steganography Using Wet Paper Codes},
  booktitle = {Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security (IH \& MMSec '14)},
  year      = {2014},
  publisher = {ACM},
  location  = {Salzburg, Austria},
  isbn      = {978-1-4503-2647-6},
  pages     = {97--108},
  doi       = {10.1145/2600918.2600942},
}
Carnein, M., Quiring, E., Haack, A., Möhring, A. and Becker, J. ‘Laiengerechte Erzeugung von 3D-Animationen am Beispiel von textuellen Unfallbeschreibungen’. In: Proceedings of the 17th International Legal Informatics Symposium (IRIS ’14). Salzburg, Austria, 2014, pp. 473-480.
[BibTeX] [URL] 
@InProceedings{IRIS14,
  author    = {Matthias Carnein and Erwin Quiring and Andreas Haack and Andreas Möhring and Jörg Becker},
  title     = {Laiengerechte Erzeugung von 3D-Animationen am Beispiel von textuellen Unfallbeschreibungen},
  booktitle = {Proceedings of the 17th International Legal Informatics Symposium (IRIS '14)},
  year      = {2014},
  pages     = {473--480},
  url       = {http://jusletter-it.weblaw.ch/issues/2014/IRIS/2544.html},
  address   = {Salzburg, Austria},
}