A composite Feature Selection Method to improve Classifying Imbalanced Big Data

Feature selection is one of the methods used to improve the performance of machine learning algorithms, especially when classifying the big data. the fined of new method was be more needed when dealing with the imbalanced big data. An imbalance in the data appears when there is a discrepancy in the...

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Bibliographic Details
Main Authors: Shaymaa Razoqi, Ghayda Al-Talib
Format: Article
Language:English
Published: Mosul University 2024-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.uomosul.edu.iq/article_185892_4c1c94cb38e386b8fb26bfb239ba8e34.pdf
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