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» Assessing data mining results via swap randomization
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 5 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
SDM
2008
SIAM
113views Data Mining» more  SDM 2008»
13 years 6 months ago
Randomization of real-valued matrices for assessing the significance of data mining results
Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Ha...
SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 6 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 2 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala