Wilhelmiina Hämäläinen

Publication Activity (10 Years)

Years Active: 2004-2019
Publications (10 Years): 5

Top Topics

Recursive Partitioning

Statistically Sound

Top Venues

Publications

Wilhelmiina Hämäläinen, Geoffrey I. Webb
A tutorial on statistically sound pattern discovery. Data Min. Knowl. Discov. 33 (2) (2019)
Wilhelmiina Hämäläinen, Mike Joy, Florian Berger, Sami Huttunen
Clustering students' open-ended questionnaire answers. CoRR (2018)
Wilhelmiina Hämäläinen, Geoffrey I. Webb
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. SDM (2017)
Wilhelmiina Hämäläinen, Geoffrey I. Webb
Specious rules: an efficient and effective unifying method for removing misleading and uninformative patterns in association rule mining. CoRR (2017)
Wilhelmiina Hämäläinen
New upper bounds for tight and fast approximation of Fisher's exact test in dependency rule mining. Comput. Stat. Data Anal. 93 (2016)
Wilhelmiina Hämäläinen
General upper bounds for well-behaving goodness measures on dependency rules. CoRR (2014)
Wilhelmiina Hämäläinen
New tight approximations for Fisher's exact test. CoRR (2014)
Wilhelmiina Hämäläinen
Assessing the statistical significance of association rules. CoRR (2014)
Wilhelmiina Hämäläinen, François Petitjean, Geoffrey I. Webb
Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining. SSDM@ECML/PKDD (2014)
Wilhelmiina Hämäläinen, Geoffrey I. Webb
Statistically sound pattern discovery. KDD (2014)
Wilhelmiina Hämäläinen
Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges. ICDM Workshops (2012)
Wilhelmiina Hämäläinen
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures. Knowl. Inf. Syst. 32 (2) (2012)
Wilhelmiina Hämäläinen
Efficient Search Methods for Statistical Dependency Rules. Fundam. Informaticae 113 (2) (2011)
Wilhelmiina Hämäläinen, Mikko Järvinen, Paula Martiskainen, Jaakko Mononen
Jerk-based feature extraction for robust activity recognition from acceleration data. ISDA (2011)
Wilhelmiina Hämäläinen
Efficient Discovery of the Top-K Optimal Dependency Rules with Fisher's Exact Test of Significance. ICDM (2010)
Wilhelmiina Hämäläinen
StatApriori: an efficient algorithm for searching statistically significant association rules. Knowl. Inf. Syst. 23 (3) (2010)
Wilhelmiina Hämäläinen
Lift-based search for significant dependencies in dense data sets. KDD Workshop on Statistical and Relational Learning in Bioinformatics (2009)
Wilhelmiina Hämäläinen, Matti Nykänen
Efficient Discovery of Statistically Significant Association Rules. ICDM (2008)
Wilhelmiina Hämäläinen, Mikko Vinni
Comparison of Machine Learning Methods for Intelligent Tutoring Systems. Intelligent Tutoring Systems (2006)
Wilhelmiina Hämäläinen, Hannu Toivonen, Vladimir Poroshin
Mining Relaxed Graph Properties in Internet. ICWI (2004)