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Systematic literature review of prediction techniques to identify work skillset

Zawawi, Nurul Saadah and Mat Surin, Ely Salwana and Zulkifli, Zahidah and Mat Nayan, Norshita (2019) Systematic literature review of prediction techniques to identify work skillset. In: "6th International Conference on Advances in Visual Informatics, IVIC 2019", 19 - 21 November 2019, Bangi selangor.

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: 6948/78333
Uncontrolled Keywords: Prediction, Data mining, Work skillset, Skills, Accuracy
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Zahidah Zulkifli
Date Deposited: 11 Feb 2020 17:39
Last Modified: 11 Feb 2020 17:39
URI: http://irep.iium.edu.my/id/eprint/78333

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