High Accuracy Data Classification and Feature Selection for Incomplete Information Systems Using Extended Limited Tolerance Relation and Conditional Entropy Approach

High Accuracy Data Classification and Feature Selection for Incomplete Information Systems Using Extended Limited Tolerance Relation and Conditional Entropy Approach

Data classification and feature/attribute selection approaches play important role in enabling organizations to extract meaningful insights from vast and complex datasets. Besides, the accuracy and processing time are two parameters of interest to determine which approach is favourable or suitable f...

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Bibliographic Details
Main Authors: Mustafa Mat Deris, Jemal H. Abawajy, Iwan Tri Riyadi Yanto, Adiwijaya Adiwijaya, Tutut Herawan, Ainur Rofiq, Riswan Efendi, Mohamad Jazli Shafizan Jaafar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Extended tolerance relation
accuracy
data reduction
similarity precision
Online Access:https://ieeexplore.ieee.org/document/10870193/

Internet

https://ieeexplore.ieee.org/document/10870193/

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