Christian Nordahl

Doktorand/universitetsadjunkt

Institutionen för datavetenskap, Rum J3118

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
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
Christian Nordahl, "Data-Driven Techniques for Modeling and Analysis of User Behavior", Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140, EISSN 12154, EISSN 15, Blekinge Tekniska Högskola, 2019
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, 2019
Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Netz Persson, "Monitoring Household Electricity Consumption Behaviour for Mining Changes", 2019