Introduction to feature subset selection methodJournal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 10)
Publication Date: 2016-01-01
Authors : Hemal Patel; Lokesh Gagnani; Mansi Parmar;
Page : 527-530
Keywords : Classification; Particle Swarm Optimization (PSO) Rough Sets; Feature Selection (FS);
Data Mining is a computational progression to ascertain patterns in hefty data sets. It has various important techniques and one of them is Classification which is receiving great attention recently in the database community. Classification technique can solve several problems in different fields like medicine, industry, business, science. PSO is based on social behaviour for optimization problem. Feature Selection (FS) is a solution that involves finding a subset of prominent features to improve predictive accuracy and to remove the redundant features. Rough Set Theory (RST) is a mathematical tool which deals with the uncertainty and vagueness of the decision systems.
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Last modified: 2016-01-08 15:10:24