A data mining approach for creating a job position in the system for evaluating competences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA2001VEO" target="_blank" >RIV/61988987:17310/19:A2001VEO - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1088/1742-6596/1195/1/012005" target="_blank" >http://dx.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>
Alternative languages
Result language
angličtina
Original language name
A data mining approach for creating a job position in the system for evaluating competences
Original language description
This article 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 add 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 specific example and the results are presented.
Czech name
—
Czech description
—
Classification
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)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2018 11TH INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING
ISBN
—
ISSN
1742-6588
e-ISSN
1742-6596
Number of pages
7
Pages from-to
—
Publisher name
Institute of Physics 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