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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
13 years 11 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
PPSN
1994
Springer
13 years 11 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
ATAL
2008
Springer
13 years 9 months ago
Experimental Evaluation of Deceptive Information Filtering in Context-Aware Service Selection
Experience-based service selection refers to selection of service providers using others' experiences. An agent can represent its experience (its demand and received service) ...
Murat Sensoy, Pinar Yolum
ICONIP
2008
13 years 9 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...