Wilhelmiina Hämäläinen
Wilhelmiina Hämäläinen
Verified email at uef.fi
Cited by
Cited by
Comparison of machine learning methods for intelligent tutoring systems
W Hämäläinen, M Vinni
International conference on intelligent tutoring systems, 525-534, 2006
Classifiers for educational data mining
W Hämäläinen, M Vinni
Handbook of Educational Data Mining, Chapman & Hall/CRC Data Mining and …, 2011
Data mining in personalizing distance education courses
W Hämäläinen, TH Laine, E Sutinen
Data Mining in E-learning 4, 157, 2006
Evaluation of the confusion matrix method in the validation of an automated system for measuring feeding behaviour of cattle
S Ruuska, W Hämäläinen, S Kajava, M Mughal, P Matilainen, J Mononen
Behavioural processes 148, 56-62, 2018
Efficient discovery of statistically significant association rules
W Hämäläinen, M Nykänen
2008 Eighth IEEE International Conference on Data Mining, 203-212, 2008
StatApriori: an efficient algorithm for searching statistically significant association rules
W Hämäläinen
Knowledge and information systems 23 (3), 373-399, 2010
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures
W Hämäläinen
Knowledge and information systems 32 (2), 383-414, 2012
Problem-based learning of theoretical computer science
W Hamalainen
34th Annual Frontiers in Education, 2004. FIE 2004., S1H/1-S1H/6 Vol. 3, 2004
Problem-based learning of theoretical computer science
W Hämäläinen
Kolin kolistelut ­ Koli Calling 2003, Proceedings of the Third Finnish/Baltic …, 2003
Jerk-based feature extraction for robust activity recognition from acceleration data
W Hamäläinen, M Järvinen, P Martiskainen, J Mononen
2011 11th International Conference on Intelligent Systems Design and …, 2011
Efficient discovery of the top-k optimal dependency rules with Fisher's exact test of significance
W Hamalainen
2010 IEEE International Conference on Data Mining, 196-205, 2010
A tutorial on statistically sound pattern discovery
W Hämäläinen, GI Webb
Data Mining and Knowledge Discovery, 2018
Can stealing cows distort the results of feeding trials? An experiment for quantification and prevention of stealing feed by dairy cows from roughage intake control feeders
S Ruuska, W Hämäläinen, A Sairanen, E Juutinen, L Tuomisto, ...
Applied Animal Behaviour Science 159, 1-8, 2014
Evaluation of clustering methods for adaptive learning systems
W Hämäläinen, V Kumpulainen, M Mozgovoy
Artificial Intelligence Applications in Distance Education, 237-260, 2014
Efficient search for statistically significant dependency rules in binary data
W Hämäläinen
Helsingin yliopisto, 2010
New upper bounds for tight and fast approximation of Fisher’s exact test in dependency rule mining
W Hämäläinen
Computational Statistics & Data Analysis 93, 469-482, 2016
Measuring behaviour accurately with instantaneous sampling: A new tool for selecting appropriate sampling intervals
W Hämäläinen, S Ruuska, T Kokkonen, S Orkola, J Mononen
Applied Animal Behaviour Science 180, 166-173, 2016
Statistically sound pattern discovery.
W Hämäläinen, GI Webb
KDD, 1976, 2014
Descriptive and predictive modelling techniques for educational technology
W Hämäläinen
Licentiate thesis, Department of Computer Science, University of Joensuu, 2006
Class NP, NP-complete, and NP-hard problems
W Hämäläinen
Nov, 2006
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