A Fast Non-Redundant Feature Selection Technique for Text Data

A Fast Non-Redundant Feature Selection Technique for Text Data

Feature selection is critical in reducing the size of data and improving classifier accuracy by selecting an optimum subset of the overall features. Traditionally, each feature is given a score against a particular category (such as using Mutual Information) and the task of feature selection comes d...

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Bibliographic Details
Main Authors: Syed Fawad Hussain, Hafiz Zaheer-Ud-Din Babar, Akhtar Khalil, Rashad M. Jillani, Muhammad Hanif, Khurram Khurshid
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature selection
mutual information
label noise
classification
Online Access:https://ieeexplore.ieee.org/document/9211425/

Internet

https://ieeexplore.ieee.org/document/9211425/

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