Manuscript Number : IJSRST1841276
A Survey on Feature Selection : in the Perspective of Evolutionary Approaches
Authors(3) :-Saravanan R, Subhasri A, Krithiga S Feature selection is an important task in data mining and machine learning to reduce the dimensionality of the data and increase the performance of the classification algorithm. However, feature selection is a challenging task to many of the problems mainly to the large search space. There are various methods to solve feature selection problems, where evolutionary computation (EC) techniques have recently added much attention and gave some success. However, the alternative approaches do not have complete guidelines on its strengths and weaknesses which lead to a disjointed and fragmented field with ultimately lost opportunities for improving performance and successful applications. This paper presents a broad survey of the state-of-the-art work on EC for feature selection, which identifies the contributions of these different algorithms. In addition, current issues and challenges are also discussed to identify promising areas for future research.
Saravanan R Classification, Data Mining, Evolutionary Computation, Feature Selection, Machine Learning Publication Details
Published in : Volume 4 | Issue 5 | March-April 2018 Article Preview
Associate professor, Department of Information Technology, SMVEC,Puducherry, Tamil Nadu, India
Subhasri A
UG student, Department of Information Technology, SMVEC, Puducherry, Tamil Nadu, India
Krithiga S
UG student, Department of Information Technology, SMVEC, Puducherry, Tamil Nadu, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 870-877
Manuscript Number : IJSRST1841276
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST1841276
Citation Detection and Elimination |
|
|