A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Geneti...
A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm
About this item
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Publisher
New York: Springer US
Journal title
Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Feature selection (FS) is a real-world problem that can be solved using optimization techniques. These techniques proposed solutions to make a predictive model, which minimizes the classifier's prediction errors by selecting informative or important features by discarding redundant, noisy, and irrelevant attributes in the original dataset. A new hy...
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Full title
A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm
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TN_cdi_proquest_journals_2918249022
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918249022
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ISSN
1386-7857
E-ISSN
1573-7543
DOI
10.1007/s10586-021-03254-y
