Christian Nordahl

About me

I’m a Ph.D. Student at Blekinge Institute of Technology formerly under the project Scalable resource-efficient systems for big data analytics. My advisors are Håkan Grahn, Marie Netz, and Veselka Boeva.

You find my PhD Thesis here.

Publications included in thesis

• Nordahl, C., Grahn, H., and Persson-Netz, M. “Detection of residents’ abnormal behaviour by analysing energy consumption of individual households”. In 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1st International Workshop on AI for Aging, Rehabilitation and Independent Assisted Living (ARIAL), 2017, New Orleans, Florida, USA, pp. 729-738. PDF DOI: 10.1109/ICDMW.2017.101

• Nordahl, C., Boeva, V., Grahn, H., and Persson-Netz, M. “Profiling of Household Residents’ Electricity Consumption Behavior Using Clustering Analysis”. International Conference on Computational Science, 2019, pp. 779-786, Springer. PDF DOI: 10.1007/978-3-030-22750-0_78

• Nordahl, C., Boeva, V., Grahn, H., and Persson-Netz, M., “Monitoring Household Electricity Consumption Behaviour for Mining Changes”, In 3rd International Workshop on Aging, Rehabilitation and Independent Assisted Living (ARIAL), International Joint Conferenec on Artificial Intelligence (IJCAI), 2019, Macau. PDF

• Boeva, V. and Nordahl, C., “Modeling Evolving User Behavior via Sequential Clustering”, In 2nd International Workshop on Knowledge Discovery and User Modelling for Smart Cities (UMCit), The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2019, Würzburg, Germany. PDFDOI: 978-3-030-43887-6_2

• Nordahl, C., Boeva, V., Grahn, H., and Persson-Netz, M., “EvolveCluster: an evolutionary clustering algorithm for streaming data”, Evolving Systems 13, 603–623 (2022). PDF DOI: s12530-021-09408-y. In the top 10 list of most downloaded articles from the Evolving Systems journal in 2022.

• Nordahl, C., Boeva, V., and Grahn, H., “MultiStream EvolveCluster”, In Proceedings of the Canadian Conference on Artificial Intelligence, 2023, Montreal, Canada. PDF DOI: 594757db.b22e0e9a. Voted top 3 paper in the conference.

• Nordahl, C., Boeva, V., Grahn, H., and Persson-Netz, M., “On Evaluation of Data Stream Clustering Algorithms: A Survey”. Submitted journal manuscript