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» Data Reduction Based on Hyper Relations
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KDD
1998
ACM
129views Data Mining» more  KDD 1998»
13 years 8 months ago
Data Reduction Based on Hyper Relations
Data reduction makes datasets smaller but preserves classication structures of interest. It is an important area of research in data mining and databases. In this paper we present...
Hui Wang, Ivo Düntsch, David A. Bell
CGF
2010
161views more  CGF 2010»
13 years 4 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
JDWM
2007
122views more  JDWM 2007»
13 years 4 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
12 years 7 months ago
iReduct: differential privacy with reduced relative errors
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...
PRL
2006
121views more  PRL 2006»
13 years 4 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie