A data mining approach for creating a job position in the system for evaluating competencies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10243992" target="_blank" >RIV/61989100:27510/18:10243992 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1088/1742-6596/1195/1/012005" target="_blank" >https://doi.org/10.1088/1742-6596/1195/1/012005</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1742-6596/1195/1/012005" target="_blank" >10.1088/1742-6596/1195/1/012005</a>

Result language

angličtina

Original language name

A data mining approach for creating a job position in the system for evaluating competencies

Original language description

This paper focuses on a data mining approach for automated retrieval of job position competencies based on a given job title and keywords that represent important competencies or concepts that are associated with a given position. The main aim is to retrieve and process the content of relevant job vacancies on the selected job portal. The output is a list of relevant words found along with their occurrence in crawled job vacancies that indicate important competencies that are required for a given job position. The HR manager then obtains a list of relevant competencies for the selected job position and the selected competencies can be added to the profile of job position in the system. Additionally, for the HR manager, the output is also a proposal to remove competencies from the job position profile, because they are not relevant (not found in searched job vacancies). These outputs are then a support tool for HR managers to create a list of all the competencies of a given job position and to store them in the job position profile. The implemented approach is verified on a specific example and the results are presented. (C) 2019 IOP Publishing Ltd. All rights reserved.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Journal of Physics: Conference Series. Volume 1195

ISBN

—

ISSN

1742-6588

e-ISSN

1742-6596

Number of pages

7

Pages from-to

"nestrankovano"

Publisher name

IOP Publishing

Place of publication

Bristol

Event location

Tokio

Event date

Oct 12, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000478663500005