An efficient rough feature selection algorithm with a multi-granulation view

J Liang, F Wang, C Dang, Y Qian - International journal of approximate …, 2012 - Elsevier
Feature selection is a challenging problem in many areas such as pattern recognition,
machine learning and data mining. Rough set theory, as a valid soft computing tool to …
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[引用][C] An efficient rough feature selection algorithm with a multi-granulation view

J LIANG, F WANG, C DANG… - International journal of …, 2012 - pascal-francis.inist.fr
An efficient rough feature selection algorithm with a multi-granulation view CNRS Inist
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An efficient rough feature selection algorithm with a multi-granulation view

J Liang, F Wang, C Dang… - International Journal of …, 2012 - scholars.cityu.edu.hk
Feature selection is a challenging problem in many areas such as pattern recognition,
machine learning and data mining. Rough set theory, as a valid soft computing tool to …

An efficient rough feature selection algorithm with a multi-granulation view

J Liang, F Wang, C Dang, Y Qian - International Journal of Approximate …, 2012 - dl.acm.org
Feature selection is a challenging problem in many areas such as pattern recognition,
machine learning and data mining. Rough set theory, as a valid soft computing tool to …

An efficient rough feature selection algorithm with a multi-granulation view

J Liang, F Wang, C Dang, Y Qian - International Journal of Approximate …, 2012 - infona.pl
Feature selection is a challenging problem in many areas such as pattern recognition,
machine learning and data mining. Rough set theory, as a valid soft computing tool to …

[引用][C] An efficient rough feature selection algorithm with a multi-granulation view

J LIANG, F WANG, C DANG, Y QIAN - International journal of approximate …, 2012 - Elsevier