A novel feature selection method for data mining tasks using hybrid sine cosine algorithm and genetic algorithm

L Abualigah, AJ Dulaimi - Cluster Computing, 2021 - Springer
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 …

A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm

L Abualigah, AJ Dulaimi - Cluster Computing, 2021 - dl.acm.org
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 …

[PDF][PDF] A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm

L Abualigah, AJ Dulaimi - researchgate.net
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 …

A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm

L Abualigah, AJ Dulaimi - Cluster Computing, 2021 - search.proquest.com
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 …

[PDF][PDF] A novel feature selection method for data mining tasks using hybrid Sine Cosine Algorithm and Genetic Algorithm

L Abualigah, AJ Dulaimi - researchgate.net
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 …