Practically Implementation of Information Loss: Sensitivity, Risk by Different Feature Selection Techniques

Practically Implementation of Information Loss: Sensitivity, Risk by Different Feature Selection Techniques

The modern perspective to deal with bulky data generations schemes of latest technologies in terms of dimensionality and sample size to extract meaningful information also to support automated knowledge discovery and pattern recognition process form datasets a lot of Data Mining (DM) and Machine Lea...

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Bibliographic Details
Main Authors: Amjad Ali, Faiz Jillani, Rabbiah Zaheer, Ahmad Karim, Yasser Obaid Alharbi, Mohammad Alsaffar, Khalid Alhamazani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Features
features selection techniques
rule-based classification algorithms
minor information
machine learning
Online Access:https://ieeexplore.ieee.org/document/9717262/

Internet

https://ieeexplore.ieee.org/document/9717262/

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