Wilhelmiina Hämäläinen

24 papers A* 3A 1B 1C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2024 — conf
Clustering students' text form feedback data: comparison of eight vector space models.
ICBDE
Wilhelmiina Hämäläinen, Jan-Mikael Rybicki, Lauri Malmi, Alex Jung, Kerttu Pollari-Malmi
2024 — conf
Optimizing Feature Selection for Unbalanced Metabolomics Data with A Background Factor: A Comparative Study in Parkinson's Disease.
BIBM
Yinjia Zhang, Wilhelmiina Hämäläinen, Paavo Reinikka, Sanna-Kaisa Herukka, Ville Leinonen, Marko Lehtonen, Sárka Lehtonen
2019 J jnl
A tutorial on statistically sound pattern discovery.
Data Min. Knowl. Discov.
Wilhelmiina Hämäläinen, Geoffrey I. Webb
2018 J jnl
Clustering students' open-ended questionnaire answers.
CoRR
Wilhelmiina Hämäläinen, Mike Joy, Florian Berger, Sami Huttunen
2017 A conf
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining.
SDM
Wilhelmiina Hämäläinen, Geoffrey I. Webb
2017 J jnl
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining.
CoRR
Wilhelmiina Hämäläinen, Geoffrey I. Webb
2016 J jnl
New upper bounds for tight and fast approximation of Fisher's exact test in dependency rule mining.
Comput. Stat. Data Anal.
Wilhelmiina Hämäläinen
2014 — ed.
1st ECML/PKDD Workshop on Statistically Sound Data Mining, SSDM 2014, held at ECML/PKDD 2014, Nancy, France, September 15, 2014
SSDM@ECML/PKDD
Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb
2014 J jnl
Assessing the statistical significance of association rules.
CoRR
Wilhelmiina Hämäläinen
2014 J jnl
General upper bounds for well-behaving goodness measures on dependency rules.
CoRR
Wilhelmiina Hämäläinen
2014 J jnl
New tight approximations for Fisher's exact test.
CoRR
Wilhelmiina Hämäläinen
2014 — conf
Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining.
SSDM@ECML/PKDD
Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb
2014 A* conf
Statistically sound pattern discovery.
KDD
Wilhelmiina Hämäläinen, Geoffrey I. Webb
2012 J jnl
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures.
Knowl. Inf. Syst.
Wilhelmiina Hämäläinen
2012 — conf
Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges.
ICDM Workshops
Wilhelmiina Hämäläinen
2011 J jnl
Efficient Search Methods for Statistical Dependency Rules.
Fundam. Informaticae
Wilhelmiina Hämäläinen
2011 C conf
Jerk-based feature extraction for robust activity recognition from acceleration data.
ISDA
Wilhelmiina Hämäläinen, Mikko Järvinen, Paula Martiskainen, Jaakko Mononen
2010 A* conf
Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of Significance.
ICDM
Wilhelmiina Hämäläinen
2010 — —
Efficient search for statistically significant dependency rules in binary data.
Wilhelmiina Hämäläinen
2010 J jnl
StatApriori: an efficient algorithm for searching statistically significant association rules.
Knowl. Inf. Syst.
Wilhelmiina Hämäläinen
2009 — conf
Lift-based search for significant dependencies in dense data sets.
KDD Workshop on Statistical and Relational Learning in Bioinformatics
Wilhelmiina Hämäläinen
2008 A* conf
Efficient Discovery of Statistically Significant Association Rules.
ICDM
Wilhelmiina Hämäläinen, Matti Nykänen
2006 B conf
Comparison of Machine Learning Methods for Intelligent Tutoring Systems.
Intelligent Tutoring Systems
Wilhelmiina Hämäläinen, Mikko Vinni
2004 — conf
Mining Relaxed Graph Properties in Internet.
ICWI
Wilhelmiina Hämäläinen, Hannu Toivonen, Vladimir Poroshin