STM Journals Peer-reviewed research from Consortium e-Learning Network

Current Trends in Information Technology

Feature Selection Using Nature-Inspired Metaheuristics: A Brief Study

  1. Siddharth Kothari
  2. Sharma Chetan
  3. Ritik Sharma
  4. Sanskar Sharma
  5. Divya Jain

Abstract

In recent decades, feature selection (FS) has attracted a lot of attention. The rapid advancement of data and computer science has led to an increase in the number of studies being conducted. The preprocessing method of feature selection plays a significant role in increasing the effectiveness of data mining and analysis across significant real-world applications. To summarize the most recent studies, this research work offers a quick assessment on feature selection for classification in this decade, based on accuracy, stability, scalability, and processing cost are the primary difficulties facing researchers.

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