Volume 18, Special Issue on Information Retrieval and Web Search, 2021
An Analysis of Feature Selection Algorithm and their Optimization - A Scrutiny
S. Bharani Nayagi and T.S. Shiny Angel
Abstract
The eradication of correlated evidence of the enormous volume of the directory is designated as data mining. Extracting discriminate knowledge associate with the approach is performed by a feature of knowledge. Knowledge rejuvenation is carried out as features and the process is delineated as a feature selection mechanism. Feature selection is a subset of features, acquired more information. Before data mining, Feature selection is essential to trim down the elevated dimensional information. Without feature selection pre-processing techniques, classification required interminable calculation duration which might lead to intricacy. The foremost intention of the analysis is to afford a summary of feature selection approaches adopted to evaluate the extreme extensive features.
Pages: 01-20
DOI: 10.14704/WEB/V18SI02/WEB18008
Keywords: Feature Selection, Filter Method, Wrapper Method, Hybrid Method, Optimization Algorithm, BCO, CS, PSO, ACO and GA.