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» Enhancing Density-Based Data Reduction Using Entropy
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NECO
2006
51views more  NECO 2006»
13 years 6 months ago
Enhancing Density-Based Data Reduction Using Entropy
D. Huang, Tommy W. S. Chow
IBPRIA
2007
Springer
13 years 7 months ago
A Density-Based Data Reduction Algorithm for Robust Estimators
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...
Luis Ferraz, Ramon Lluis Felip, Brais Martí...
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
11 years 8 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
FUIN
2002
108views more  FUIN 2002»
13 years 5 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak
SAC
2010
ACM
13 years 4 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava