Career-path analysis using optimal matching and self-organizing maps

Massoni, Sebastien, Olteanu, Madalina, & Rousset, Patrick (2009) Career-path analysis using optimal matching and self-organizing maps. Lecture Notes in Computer Science, 5629, pp. 154-162.

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This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distances well adapted to the data, but are limiting their analysis to hierarchical clustering. Other authors apply sophisticated methods, but only after paying the price of transforming the categorical data into continuous, via a factorial analysis. The latter approach has an important drawback since it makes a linear assumption on the data. We propose a new methodology, inspired from biology and adapted to career paths, combining optimal matching and self-organizing maps. A complete study on real-life data will illustrate our proposal.

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1 citations in Scopus
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2 citations in Web of Science®

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ID Code: 61536
Item Type: Journal Article
Refereed: Yes
Additional Information: Published as the Proceedings of the 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Titled: Advances in Self-Organizing Maps. Edited by José C. Príncipe, Risto Miikkulainen.
DOI: 10.1007/978-3-642-02397-2_18
ISSN: 0302-9743
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Economics & Finance
Deposited On: 25 Jul 2013 22:49
Last Modified: 29 Jul 2013 00:02

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