A Data Mining Approach for Finding Similar Job Positions to Upgrade a Job Position in a System for Evaluating Competencies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10246625" target="_blank" >RIV/61989100:27510/20:10246625 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICCC49264.2020.9257298" target="_blank" >https://doi.org/10.1109/ICCC49264.2020.9257298</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC49264.2020.9257298" target="_blank" >10.1109/ICCC49264.2020.9257298</a>
Alternative languages
Result language
angličtina
Original language name
A Data Mining Approach for Finding Similar Job Positions to Upgrade a Job Position in a System for Evaluating Competencies
Original language description
This article focuses on creating an approach to find similar job positions based on an existing job position in a system for evaluating competencies. The proposed method uses data mining methods to find similar job positions on a job portal based on input data. The input data is the job position title and the list of competencies. The proposed approach then accesses the relevant job positions in a job portal and compares them with the entered inputs. The output of the approach is a list of the most similar job positions in the job portal, including their description. Then HR manager should use this output for completing the assigned job position and its competencies. The proposed approach is then experimentally verified. (C) 2020 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2020 21st International Carpathian Control Conference, ICCC 2020
ISBN
978-1-72811-952-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Košice
Event date
Oct 27, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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