Machine Learning
Multi-Objective Interaction-Enhanced Feature Selection for Streaming Multi-Label Data

Sahar Abbasi; Radmin Sadeghian; Maryam Hamedi

Volume 2, Issue 2 , June 2024, , Pages 35-70

https://doi.org/10.22054/jdsm.2024.80654.1049

Abstract
  Multi-label classification assigns multiple labels to each instance, crucial for tasks like cancer detection in images and text categorization. However, machine learning methods often struggle with the complexity of real-life datasets. To improve efficiency, researchers have developed feature selection ...  Read More

Machine Learning
Feature Selection in High Dimensional Datasets based on Adjacency Matrix

Negin Bagherpour; Behrang Ebrahimi

Volume 2, Issue 1 , December 2023, , Pages 209-218

https://doi.org/10.22054/jdsm.2024.81171.1052

Abstract
  Feature selection is crucial to improve the quality of classification and clustering. It aims to enhance machine learning performance and reduce computational costs by eliminating irrelevant or redundant features. However, existing methods often overlook intricate feature relationships and select redundant ...  Read More