Christian Nordahl
University Lecturer
Department of Computer Science
Room J3110, Karlskrona
Research domain: Computer Science
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Christian Nordahl is a Ph.D. Student in Computer Science at the department of Computer Science at Blekinge Institute of Technology. Christian is working in the BigData@BTH project. Current research interests include behavior modeling, data mining, clustering, and machine learning.
Latest publications
- Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Netz Persson, "On Evaluation of Data Stream Clustering Algorithms", IEEE Access, EISSN 2169-3536, Vol. 13, pp. 139524-139546, Institute of Electrical and Electronics Engineers (IEEE), 2025
- Christian Nordahl, "Data Stream Mining and Analysis", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, Blekinge Tekniska Högskola, 2024
- Christian Nordahl, Veselka Boeva, Håkan Grahn, "MultiStream EvolveCluster", The 36th Canadian Conference on Artificial Intelligence, 2023
- Abbas Cheddad, Christian Nordahl, "Distance Teaching Experience of Campus-based Teachers at Times of Pandemic Confinement", ACM International Conference Proceeding Series, pp. 64-69, Association for Computing Machinery (ACM), 2022
- Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Netz Persson, "EvolveCluster", Evolving Systems, ISSN 1868-6478, EISSN 1868-6486, No. 4, pp. 603-623, SPRINGER HEIDELBERG, 2022
Current projects
No information available
Completed projects
No information available