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Predict the emergence - Application to competencies in job offers

Yacine Abboud 1, * Anne Boyer 1 Armelle Brun 1 
* Corresponding author
1 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : —Predicting the emergence of an event enables to anticipate and make decisions upstream. For instance, in the employment sector, it becomes necessary to anticipate the emergence of competencies requirements to help job seekers, education and training organization to better match the needs of the job market. Several approaches address the competencies mining with ontologies, we adopt a different point of view by using pattern mining. We propose a new methodology to predict emerging patterns and apply it to competencies with a dataset of job offers collected on the Web. Our model allows to identify potential emerging pattern over time and thus enables to take decisions accordingly.
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Submitted on : Monday, January 11, 2016 - 7:35:44 PM
Last modification on : Saturday, October 16, 2021 - 11:26:08 AM
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  • HAL Id : hal-01254179, version 1



Yacine Abboud, Anne Boyer, Armelle Brun. Predict the emergence - Application to competencies in job offers. International Conference on Tools with Artificial Intelligence (ICTAI) , Nov 2015, Vietri Sul Mare, Italy. ⟨hal-01254179⟩



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