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JUCS
2008
130views more  JUCS 2008»
13 years 7 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
14 years 1 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
14 years 8 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
MHCI
2004
Springer
14 years 1 months ago
A Study on Gestural Interaction with a 3D Audio Display
The study reported here investigates the design and evaluation of a gesturecontrolled, spatially-arranged auditory user interface for a mobile computer. Such an interface may prov...
Georgios N. Marentakis, Stephen A. Brewster
ANLP
1997
80views more  ANLP 1997»
13 years 9 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe