Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

While only 4.2 million people out of a population of 7.9 million disabled people are working, a considerable contribution is still required from universities and industries to increase employability among the disabled, in particular, by providing adequate career guidance post higher education. This...

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Bibliographic Details
Main Authors: Drishty Sobnath, Tobiasz Kaduk, Ikram Ur Rehman, Olufemi Isiaq
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Disability
feature selection
job predictors
machine learning
MALSEND
predictive model
Online Access:https://ieeexplore.ieee.org/document/9173779/

Internet

https://ieeexplore.ieee.org/document/9173779/

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