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» Assessing Data Mining Results on Matrices with Randomization
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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...
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
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
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, ...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 5 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du