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» Using Sample Size to Limit Exposure to Data Mining
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CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
14 years 13 days ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
TKDE
2011
234views more  TKDE 2011»
13 years 1 months ago
The World in a Nutshell: Concise Range Queries
—With the advance of wireless communication technology, it is quite common for people to view maps or get related services from the handheld devices, such as mobile phones and PD...
Ke Yi, Xiang Lian, Feifei Li, Lei Chen 0002
IJFCS
2008
102views more  IJFCS 2008»
13 years 6 months ago
Succinct Minimal Generators: Theoretical Foundations and Applications
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu N...
BMCBI
2008
110views more  BMCBI 2008»
13 years 6 months ago
Testing for treatment effects on gene ontology
In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functi...
Taewon Lee, Varsha G. Desai, Cruz Velasco, Robert ...