Study on Multi-Objective Bio-Inspired Algorithms for Feature Selection

Authors

  • Rachna Kulhare
  • Dr. S. Veenadhari
  • Neha Sharma

DOI:

https://doi.org/10.24113/ijoscience.v7i7.394

Keywords:

Optimization Algorithm, Big Data, Features Selection.

Abstract

With the era of big data, the problems of data size and data optimization have become more diversified and complicated, thus the optimization method has become the focus of people's attention. Algorithm is used to solve practical problems in various fields. In this paper, we studied different techniques of feature selection for big data using optimization algorithm.

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Author Biographies

Rachna Kulhare

PhD Scholar

Computer Science & Engineering

Rabindranath Tagore University

Bhopal, Madhya Pradesh, India

Dr. S. Veenadhari

Associate Professor,

Computer Science & Engineering

Rabindranath Tagore University 

Bhopal, Madhya Pradesh, India

Neha Sharma

PhD Scholar

Computer Science & Engineering

Rabindranath Tagore University

Bhopal, Madhya Pradesh, India

References

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Published

07/01/2021

How to Cite

Kulhare, R. ., Veenadhari, D. S. ., & Sharma, N. . (2021). Study on Multi-Objective Bio-Inspired Algorithms for Feature Selection . SMART MOVES JOURNAL IJOSCIENCE, 7(7), 5–8. https://doi.org/10.24113/ijoscience.v7i7.394

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Articles