A new feature subset selection model based on migrating birds optimisation

2019 ◽  
Vol 11 (2) ◽  
pp. 133
Author(s):  
Naoual El Aboudi ◽  
Laila Benhlima
Keyword(s):  
Subset Selection ◽  
Selection Model ◽  
Feature Subset Selection ◽  
Feature Subset ◽  
Model Based ◽  
New Feature ◽  
Migrating Birds

New Feature Subset Selection Algorithm Using Class Association Rules Mining

2011 ◽  
Vol 474-476 ◽  
pp. 622-625
Author(s):  
Shou Juan Zhang ◽  
Quan Zhou
Keyword(s):  
Association Rules ◽  
Subset Selection ◽  
Real Data ◽  
Feature Subset Selection ◽  
Data Sets ◽  
Feature Subset ◽  
Selection Algorithm ◽  
Association Rules Mining ◽  
New Feature ◽  
Remarkable Advantage

A new feature subset selection algorithm using class association rules mining is proposed in this paper. Firstly, the algorithm mines rules with features as antecedences and class attributes as consequences. Then, it selects the strongest rules one by one, and all the rules’ antecedences make up of the selected feature subset. Experimental results on 10 real data sets show that the proposed algorithm produces a remarkable advantage in enormously reducing the number of the features while keeping quite high classification accuracy compared with other existing seven algorithms. This algorithm can offer an available preprocess technique for pattern recognition, machine learning and data mining.

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