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» Evaluating algorithms that learn from data streams
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ICDE
2006
IEEE
179views Database» more  ICDE 2006»
16 years 8 months ago
Distributed Evaluation of Continuous Equi-join Queries over Large Structured Overlay Networks
We study the problem of continuous relational query processing in Internet-scale overlay networks realized by distributed hash tables. We concentrate on the case of continuous two...
Stratos Idreos, Christos Tryfonopoulos, Manolis Ko...
DAWAK
2006
Springer
15 years 10 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
122
Voted
ICASSP
2010
IEEE
15 years 6 months ago
Reconstructing the full tongue contour from EMA/X-ray microbeam
Existing large-scale articulatory databases describe the tongue shape through the 2D positions of 3–4 fixed landmarks on the tongue surface. The ability to reconstruct the full...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
SAC
2005
ACM
16 years 7 days ago
Rearranging data objects for efficient and stable clustering
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
Gyesung Lee, Xindong Wu, Jinho Chon
ICML
2006
IEEE
16 years 7 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...