Job Titles Matching Using Bayesian Network

This study proposed a solution to assist employers during job advertisement phase by identifying suitable soft skills with its relevancy to the job title. The proposed solution called Soft Skills Advisory System (SSAS) was developed which consists of the User Interface and the Decision Making compon...

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Main Author: Abu Bakar, Azuraini
Format: Thesis
Published: 2011
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id my-mmu-ep.3355
record_format uketd_dc
spelling my-mmu-ep.33552012-01-18T07:11:01Z Job Titles Matching Using Bayesian Network 2011-01 Abu Bakar, Azuraini BF Psychology (General) This study proposed a solution to assist employers during job advertisement phase by identifying suitable soft skills with its relevancy to the job title. The proposed solution called Soft Skills Advisory System (SSAS) was developed which consists of the User Interface and the Decision Making components. 2011-01 Thesis http://shdl.mmu.edu.my/3355/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters University of Multimedia Research Library
institution Multimedia University
collection MMU Institutional Repository
topic BF Psychology (General)
spellingShingle BF Psychology (General)
Abu Bakar, Azuraini
Job Titles Matching Using Bayesian Network
description This study proposed a solution to assist employers during job advertisement phase by identifying suitable soft skills with its relevancy to the job title. The proposed solution called Soft Skills Advisory System (SSAS) was developed which consists of the User Interface and the Decision Making components.
format Thesis
qualification_level Master's degree
author Abu Bakar, Azuraini
author_facet Abu Bakar, Azuraini
author_sort Abu Bakar, Azuraini
title Job Titles Matching Using Bayesian Network
title_short Job Titles Matching Using Bayesian Network
title_full Job Titles Matching Using Bayesian Network
title_fullStr Job Titles Matching Using Bayesian Network
title_full_unstemmed Job Titles Matching Using Bayesian Network
title_sort job titles matching using bayesian network
granting_institution University of Multimedia
granting_department Research Library
publishDate 2011
_version_ 1747829483785682944