Kai Puolamäki

    20032019

    Research activity per year

    Personal profile

    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 Development 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 Sept 1996

    Keywords

    • explorative data analysis
    • randomization
    • machine learning

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    • 1 Similar Profiles
    • 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
      166 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.). Springer, 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 article in proceedingsScientificpeer-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
      49 Citations (Scopus)
      255 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 article in proceedingsScientificpeer-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 article in proceedingsScientificpeer-review

      5 Citations (Scopus)