Research Output per year
Research Output per year
Personal profile
Artistic and research interests
Wilhelmiina Hämäläinen (PhD) is a senior university lecturer at the Department of Computer Science, Aalto University. In the past, she has worked in various research and teaching positions in the areas of computer science, biology, biomedicine and environmental science in Finnish universities. Her main research area is data mining and machine learning, including both basic research, especially on pattern discovery algorithms and statistical significance testing methods in computational data analysis, and applied research on solving challenging real world data analysis problems on biological, medical, bionformatics and educational data.
Education/Academic qualification
Doctor of Philosophy, Philosophy (Natural Sciences), Helsingin yliopisto
Award Date: 19 Oct 2010
External positions
Research manager of Bioinformatics center, University of Eastern Finland
1 Aug 2018 → 30 Nov 2019Keywords
- data mining, machine learning, algorithms, data science
Fingerprint
Dive into the research topics where Wilhelmiina Hämäläinen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 10 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
-
A tutorial on statistically sound pattern discovery
Hämäläinen, W. & Webb, G. I., 2019, In : Data Mining and Knowledge Discovery. 33, 2, p. 325–377 53 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Clustering students' open-ended questionnaire answers
Hämäläinen, W., Joy, M., Berger, F. & Huttunen, S., 2018, 13 p.Research output: Working paper › Scientific
Open AccessFile3 Downloads (Pure) -
Evaluation of the confusion matrix method in the validation of an automated system for measuring feeding behaviour of cattle
Ruuska, S., Hämäläinen, W., Kajava, S., Mughal, M., Matilainen, P. & Mononen, J., 1 Mar 2018, In : BEHAVIOURAL PROCESSES. 148, p. 56-62 7 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Specious rules: An efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining
Hämäläinen, W. & Webb, G. I., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. p. 309-317 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
File -
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
Ruuska, S., Hämäläinen, W., Sairanen, A., Juutinen, E., Tuomisto, L., Järvinen, M. & Mononen, J., 2014, In : APPLIED ANIMAL BEHAVIOUR SCIENCE. 159, p. 1-8Research output: Contribution to journal › Article › Scientific › peer-review
Projects
- 1 Finished
-
Efficient search algorithms for genuine dependency rules in large-dimensional data
01/05/2016 → 23/05/2018
Project: Academy of Finland: Other research funding
Activities
-
Tutorial on Yule-Simpson's paradox and other specious associations
Wilhelmiina Hämäläinen (Speaker)
8 Mar 2018Activity: Talk or presentation types › Keynote or plenary lecture
-
Monash University, Faculty of Information Technology, Melbourne
Wilhelmiina Hämäläinen (Visiting researcher)
17 Nov 2017 → 3 Dec 2017Activity: Visiting an external institution types › Visit abroad
-
Workshop on Statistically Sound Data Mining
Wilhelmiina Hämäläinen (Member)
19 Sep 2016Activity: Participating in or organising an event types › Organization of a workshop, panel, session or tutorial
-
Inria Lille Nord Europe
Wilhelmiina Hämäläinen (Visiting researcher)
7 Nov 2016 → 18 Nov 2016Activity: Visiting an external institution types › Visit abroad
-
European Conference on Machine Learning and Knowledge Discovery in Databases
Wilhelmiina Hämäläinen (Member)
19 Sep 2016 → 23 Sep 2016Activity: Participating in or organising an event types › Membership of a scientific or program committee of a conference or seminar