Systematic literature review of prediction techniques to identify work skillset
A mismatch of skillsets is a main cause to the unemployment in Malaysia. It is a situation where the level and work skillset that are available do not match the market demands and the individual does not know how to identify the skills that they have. To deal with this problem, prediction techniq...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Nature
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/78333/1/78333_Systematic%20Literature%20Review%20of%20Prediction_complete.pdf http://irep.iium.edu.my/78333/2/78333_Systematic%20Literature%20Review%20of%20Prediction_scopus.pdf http://irep.iium.edu.my/78333/ https://link.springer.com/chapter/10.1007%2F978-3-030-34032-2_37 |
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| Summary: | A mismatch of skillsets is a main cause to the unemployment in
Malaysia. It is a situation where the level and work skillset that are available do
not match the market demands and the individual does not know how to identify
the skills that they have. To deal with this problem, prediction techniques is used
to assist in identifying work-appropriate skills for individual. Thus, a systematic
literature review (SLR) on predicting work skillsets using prediction techniques
is proposed. The aim of this study is to give an overview on the prediction
techniques that have been used to predict work skillset and the accuracy of the
techniques. We use SLR to identify 383 prediction techniques studies for
identifying skills published from 2014 to 2019. As a result, 9 studies report
adequate information and methodology according to our criteria and apply.
From the studies, classification techniques are used for predicting work skillset.
The algorithms used is Random Forest with precision is 99%. From this study, a
future study will be conducted by developing a prediction model to help
identifying appropriate work skillsets to meet current needs and identifying the
levels of skills they have. The significant of this study is the researchers are able
to understand deeply about the prediction techniques used to identify work
skillset and the accuracy of the techniques used. |
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