Career-path analysis using drifting Markov models (DMM) and self-organizing maps

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Auteurs
Date

2010

Type de document
Périmètre
Langue
Identifiants
Source

HAL SHS (Sciences de l’Homme et de la Société)

Collection

Archives ouvertes

Organisation

Centre pour la communication scientifique directe

Licence

info:eu-repo/semantics/OpenAccess

Mots-clés It Und

Career paths categorical data drifting Markov model self organizing maps 62-07, 62P20, 62H30

Sujets proches En

SOMs (Self-organizing maps) Kohonen's maps Kohonen maps Algorithms, Kohonen Maps, Kohonen Maps, Self-organizing Kohonen algorithms Philosophy--Methodology Markov models Markoff processes Analysis, Markov Models, Markov Markov analysis Chains, Markov Markov chains Processes, Markov

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Sébastien Massoni et al., « Career-path analysis using drifting Markov models (DMM) and self-organizing maps », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.8e9886...

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Résumé En

Analyzing school-to-work transitions is an important challenge for the specialists of the labor-market. The aim of this paper is to study the insertion of graduates and to identify the main career-paths typologies. We introduce a new methodology for clustering career-paths by combining statistical estimation of non-homogeneous Markov chains with self-organizing maps. The proposed methodology is tested on real-life data issued from the survey ''Generation 98'' elaborated by CEREQ, France (http://www.cereq.fr/)

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