Systematic literature review of prediction techniques to identify work skillset

Nurul Saadah Zawawi, Ely Salwana, Zahidah Zulkifli, Norshita Mat Nayan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings
EditorsHalimah Badioze Zaman, Nazlena Mohamad Ali, Mohammad Nazir Ahmad, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi
PublisherSpringer
Pages415-428
Number of pages14
ISBN (Print)9783030340315
DOIs
Publication statusPublished - 1 Jan 2019
Event6th International Conference on Advances in Visual Informatics, IVIC 2019 - Bangi, Malaysia
Duration: 19 Nov 201921 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11870 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Advances in Visual Informatics, IVIC 2019
CountryMalaysia
CityBangi
Period19/11/1921/11/19

Fingerprint

Literature Review
Prediction
Malaysia
Random Forest
Unemployment
Prediction Model
Predict
Skills
Methodology

Keywords

  • Accuracy
  • Data mining
  • Prediction
  • Skills
  • Work skillset

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zawawi, N. S., Salwana, E., Zulkifli, Z., & Nayan, N. M. (2019). Systematic literature review of prediction techniques to identify work skillset. In H. Badioze Zaman, N. Mohamad Ali, M. N. Ahmad, A. F. Smeaton, T. K. Shih, S. Velastin, & T. Terutoshi (Eds.), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings (pp. 415-428). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS). Springer. https://doi.org/10.1007/978-3-030-34032-2_37

Systematic literature review of prediction techniques to identify work skillset. / Zawawi, Nurul Saadah; Salwana, Ely; Zulkifli, Zahidah; Nayan, Norshita Mat.

Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. ed. / Halimah Badioze Zaman; Nazlena Mohamad Ali; Mohammad Nazir Ahmad; Alan F. Smeaton; Timothy K. Shih; Sergio Velastin; Tada Terutoshi. Springer, 2019. p. 415-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11870 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zawawi, NS, Salwana, E, Zulkifli, Z & Nayan, NM 2019, Systematic literature review of prediction techniques to identify work skillset. in H Badioze Zaman, N Mohamad Ali, MN Ahmad, AF Smeaton, TK Shih, S Velastin & T Terutoshi (eds), Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11870 LNCS, Springer, pp. 415-428, 6th International Conference on Advances in Visual Informatics, IVIC 2019, Bangi, Malaysia, 19/11/19. https://doi.org/10.1007/978-3-030-34032-2_37
Zawawi NS, Salwana E, Zulkifli Z, Nayan NM. Systematic literature review of prediction techniques to identify work skillset. In Badioze Zaman H, Mohamad Ali N, Ahmad MN, Smeaton AF, Shih TK, Velastin S, Terutoshi T, editors, Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. Springer. 2019. p. 415-428. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-34032-2_37
Zawawi, Nurul Saadah ; Salwana, Ely ; Zulkifli, Zahidah ; Nayan, Norshita Mat. / Systematic literature review of prediction techniques to identify work skillset. Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings. editor / Halimah Badioze Zaman ; Nazlena Mohamad Ali ; Mohammad Nazir Ahmad ; Alan F. Smeaton ; Timothy K. Shih ; Sergio Velastin ; Tada Terutoshi. Springer, 2019. pp. 415-428 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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