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Artistic and research interests

Dr Kai Puolamäki is a Professor of Practice at the Department of Computer Science in Aalto University. His primary interests lie in the areas of data mining, machine learning, artificial intelligence, and related algorithms.

He is especially interested in explorative data analysis, in being able to make analytic decisions with the help of large heterogenous data sources, and in introducing new methods and computational concept into other sciences and application areas.

Expertise related to UN Sustainable Devlopment Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 15 - Life on Land

Education/Academic qualification

Filosofian tohtori, Teoreettinen fysiikka, Helsingin yliopisto

Award Date: 23 Feb 2001

Filosofian maisteri, Teoreettinen fysiikka, Helsingin yliopisto

Award Date: 13 Sep 1996

Keywords

  • explorative data analysis
  • randomization
  • machine learning

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  • Randomization algorithms for large sparse networks

    Puolamäki, K., Henelius, A. & Ukkonen, A., 30 May 2019, In: Physical Review E. 99, 5, p. 1-15 15 p., 053311.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    105 Downloads (Pure)
  • Tiler: Software for human-guided data exploration

    Henelius, A., Oikarinen, E. & Puolamäki, K., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). p. 672-676 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    3 Citations (Scopus)
  • Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment

    Ahonen, L., Cowley, B. U., Hellas, A. & Puolamäki, K., 1 Dec 2018, In: Scientific Reports. 8, 1, p. 1-16 3138.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    31 Citations (Scopus)
    168 Downloads (Pure)
  • Interactive visual data exploration with subjective feedback: An information-theoretic approach

    Puolamaki, K., Oikarinen, E., Kang, B., Lijffijt, J. & De Bie, T., 24 Oct 2018, Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018). IEEE, p. 1212-1215 4 p. 8509333

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    6 Citations (Scopus)
  • Subjectively Interesting Subgroup Discovery on Real-valued Targets

    Lijffijt, J., Kang, B., Duivesteijn, W., Puolamäki, K., Oikarinen, E. & De Bie, T., 2018, Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE 2018). IEEE, p. 1356-1359 4 p. 8509369

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    3 Citations (Scopus)