Publications: Data mining algorithms

Publications: Applied Data Mining and Machine Learning (especially for Ecology and Educational Technology)

Activity recognition from accelerometer data (recognizing cows' activity)

Publications: Teaching computer science

Other publications

S. Ruuska, W. Hämäläinen, T. Kokkonen, S. Orkola and J. Mononen: Reliability of instantaneous sampling in measuring feeding behaviour of dairy cows. Proceedings of the 25th Nordic Symposium of the International Society for Applied Ethology, p. 35, 2014.

Doctoral thesis

Hämäläinen, W.: Efficient search for statistically significant dependency rules in binary data. Department of Computer Science, University of Helsinki, Finland. Series of Publications A, Report A-2010-2. Abstract pdf Corrections and additional notes

Licentiate thesis

Hämäläinen, W.: Descriptive and Predictive Modelling Techniques for Educational Technology. Licentiate thesis. Department of Computer Science, University of Joensuu, Finland. 2006. Abstract pdf bibtex

Master's theses

I have done two interdisiplinary master theses, which deal with both philosophy and computer science - the focus is naturally according to the major degree in question.

Non-reviewed scientific articles

Other writings

Source code

Source code for efficient search of non-redundant, statistically significant dependency rules (association rules which express statistical dependencies). Notice: The programs do not need any minimum frequency thresholds or restrictions on rule length, and you can find totally new information in difficult data sets.


Data sets for association rule mining.