Handling Missing Values Based on Similarity Classifiers and Fuzzy Entropy Measures

Handling Missing Values Based on Similarity Classifiers and Fuzzy Entropy Measures

Handling missing values (MVs) and feature selection (FS) are vital preprocessing tasks for many pattern recognition, data mining, and machine learning (ML) applications, involving classification and regression problems. The existence of MVs in data badly affects making decisions. Hence, MVs have to...

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Bibliographic Details
Main Authors: Faten Khalid Karim, Hela Elmannai, Abdelrahman Seleem, Safwat Hamad, Samih M. Mostafa
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
missingness mechanisms
feature selection
bayesian ridge regression
imputation
similarity classifier
Online Access:https://www.mdpi.com/2079-9292/11/23/3929

Internet

https://www.mdpi.com/2079-9292/11/23/3929

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