University of Münster
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Dr. Matthias Carnein

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

  • Data Science
  • Machine Learning
  • Big Data
  • Real-Time Analytics
  • Unsupervised Learning
  • Stream Clustering
  • Market Segmentation
  • Topic Modelling
  • Automated Machine Learning

Academic Education

03/2016 - 01/2020Doctoral candidate in Information Systems at the University of Münster, Germany
10/2013 - 09/2015Master studies in Information Systems at the University of Münster
10/2010 - 09/2013Bachelor studies in Information Systems at the University of Münster

Work Experience

since 03/2016Research assistant at the chair for Information Systems and Statistics at the University of Münster
03/2016 - 02/2019Research Associate of the ERCIS Omni-Channel Lab - powered by Arvato
2017Lecturer at the Data Science certificate programme at the Münster University Continuing Education (WWU Weiterbildung gGmbH)
01/2016 - 02/2016Graduate student assistant at the chair for Information Systems and Statistics at the University of Münster
04/2014 - 12/2015Graduate Student Assistant at the IT Security Research Group at the University of Münster
11/2012 - 03/2014Student assistant at the chair for Information Systems and Information Management at the University of Münster

Publications

Machine Learning on Data Streams - Improving the Applicability and Performance of Stream Clustering Algorithms
Carnein Matthias (2020)
(kein Verlag angegeben).
Thesis (doctoral or post-doctoral) | Published
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
Carnein Matthias, Trautmann Heike, Bifet Albert, Pfahringer Bernhard (2020)
In:  (eds.), , 80-95. (kein Verlag angegeben). doi:10.1007/978-3-030-53552-0_10
Research article in edited proceedings (conference) | Peer reviewed | Published
Towards Automated Configuration of Stream Clustering Algorithms
Carnein Matthias, Trautmann Heike, Bifet Albert, Pfahringer Bernhard (2020)
In:  (eds.), , 137-143. (kein Verlag angegeben). doi:10.1007/978-3-030-43823-4_12
Research article in edited proceedings (conference) | Peer reviewed | Published
A Recommender System Based on Omni-Channel Customer Data
Carnein Matthias, Homann Leschek, Trautmann Heike, Vossen Gottfried (2019)
In:  (eds.), , 65-74. (kein Verlag angegeben).
Research article in edited proceedings (conference) | Peer reviewed | Published
Customer Segmentation Based on Transactional Data Using Stream Clustering
Carnein Matthias, Trautmann Heike (2019)
In:  (eds.), , 280-292. (kein Verlag angegeben).
Research article in edited proceedings (conference) | Peer reviewed | Published
Show all publications

Projects

9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017 (EMO 2017)
Duration: 19/03/2017 - 22/03/2017
Funded by: Participation / conference fees , DFG - International Scientific Events
Type of project: Scientific Event
ERCIS Omni-Channel Lab - powered by Arvato
Duration: 01/03/2016 - 28/02/2019
Funded by: ARVATO direct services GmbH
Type of project: Individual project

Prizes

CBI Best Paper Award 2019
Awarded by: 21st IEEE Conference on Business Informatics (CBI '19)
Award given to: Carnein, Matthias; Homann, Leschek; Trautmann, Heike; Vossen, Gottfried
Announced at: 15/07/2019 | Date of awarding: 15/07/2019
Type of distinction: Best publication award
Marie Skłodowska-Curie Fellowship
Awarded by: Research Executive Agency of the European Commission
Award given to: Carnein, Matthias
Announced at: 01/01/2019
Type of distinction: Scholarship

Doctorates

Machine Learning on Data Streams - Improving the Applicability and Performance of Stream Clustering Algorithms
Candidate: Carnein, Matthias | Supervisors: Trautmann, Heike; Bifet Albert
Period of time: until 21/01/2020
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster