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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 11 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
KBSE
2002
IEEE
14 years 14 days ago
Generating Test Data for Functions with Pointer Inputs
Generating test inputs for a path in a function with integer and real parameters is an important but difficult problem. The problem becomes more difficult when pointers are pass...
Srinivas Visvanathan, Neelam Gupta
APIN
1998
132views more  APIN 1998»
13 years 7 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
13 years 11 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
TDP
2008
67views more  TDP 2008»
13 years 7 months ago
Generating Sufficiency-based Non-Synthetic Perturbed Data
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...
Krishnamurty Muralidhar, Rathindra Sarathy