Incremental feature selection based on rough set in dynamic incomplete data

W Shu, H Shen - Pattern Recognition, 2014 - Elsevier
Feature selection plays a vital role in many areas of pattern recognition and data mining.
The effective computation of feature selection is important for improving the classification …
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[引用][C] Incremental feature selection based on rough set in dynamic incomplete data

W Shu, H Shen - 2014 - digital.library.adelaide.edu.au
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[引用][C] Incremental feature selection based on rough set in dynamic incomplete data

W SHU, H SHEN - Pattern recognition, 2014 - pascal-francis.inist.fr
Incremental feature selection based on rough set in dynamic incomplete data CNRS Inist
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[引用][C] Incremental feature selection based on rough set in dynamic incomplete data

W Shu, H Shen - 2014 - hekyll.services.adelaide.edu.au
Adelaide Research & Scholarship: Incremental feature selection based on rough set in dynamic
incomplete data Skip navigation DSpace logo Home Browse Communities & Collections Browse …

Incremental feature selection based on rough set in dynamic incomplete data

W Shu, H Shen - Pattern Recognition, 2014 - infona.pl
Feature selection plays a vital role in many areas of pattern recognition and data mining.
The effective computation of feature selection is important for improving the classification …

Incremental feature selection based on rough set in dynamic incomplete data

W Shu, H Shen - Pattern Recognition, 2014 - ui.adsabs.harvard.edu
Feature selection plays a vital role in many areas of pattern recognition and data mining.
The effective computation of feature selection is important for improving the classification …

[引用][C] Incremental feature selection based on rough set in dynamic incomplete data

W SHU, H SHEN - Pattern recognition, 2014 - Elsevier