Christian Nordahl

Universitetsadjunkt

Institutionen för datavetenskap, Rum J3110

https://christiannordahl.github.io

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.

Projekt och publikationer

Nyligen publicerat
Christian Nordahl, "Data Stream Mining and Analysis", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 1, 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, Association for Computing Machinery (ACM), 2022
Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Netz Persson, "EvolveCluster", Evolving Systems, ISSN 1868-6478, EISSN 1868-6486, nr 4, pp. 603 - 623, SPRINGER HEIDELBERG, 2022
Veselka Boeva, Christian Nordahl, "Modeling Evolving User Behavior via Sequential Clustering", Communications in Computer and Information Science, ISSN 18650929, Communications in Computer and Information Science, Springer, 2020