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Feature selection

Known as: Feature selection problem, Input selection, Feature subset selection 
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the… 
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Papers overview

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Highly Cited
2008
Highly Cited
2008
Robustness or stability of feature selection techniques is a topic of recent interest, and is an important issue when selected… 
Review
2008
Review
2008
The Internet is frequently used as a medium for exchange of information and opinions, as well as propaganda dissemination. In… 
Highly Cited
2005
Highly Cited
2005
In supervised learning scenarios, feature selection has been studied widely in the literature. Selecting features in unsupervised… 
Highly Cited
2004
Highly Cited
2004
Feature selection is applied to reduce the number of features in many applications where data has hundreds or thousands of… 
Highly Cited
2003
Highly Cited
2003
Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and… 
Highly Cited
2002
Highly Cited
2002
In this article, we describe an unsupervised feature selection algorithm suitable for data sets, large in both dimension and size… 
Highly Cited
2001
Highly Cited
2001
We report on the successful application of feature selection methods to a classification problem in molecular biology involving… 
Highly Cited
1998
Highly Cited
1998
Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to… 
Review
1998
Review
1998
  • Huan LiuH. Motoda
  • 1998
  • Corpus ID: 60567601
From the Publisher: With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatchable by… 
Highly Cited
1995
Highly Cited
1995
  • Huan LiuR. Setiono
  • 1995
  • Corpus ID: 14173503
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This…