Summary
In this paper, after defining a pseudo-panel of groups observed at subsequent times, we propose a strategy for the construction of a set of association rules related to different survey occasions. First, we measure the similarity between systems built at different times for understanding the stability of the phenomenon. We apply a procedure developed for symbolic data analysis for this purpose. The procedure consists of two phases: the definition of the pseudo-panel and that of a system of rules referred to the semantic marking technique. Then, the agreement between the systems is measured. We applied such a strategy for studying the labour market accessibility for graduate in Economics, the University of Naples “Federico II”, and the market evolution during an eight-year time span.
This paper is the result of the joint effort of the two authors. S. Balbi was responsible for the final editing of Sections 1, 6 and 7, whereas M.G. Grassia was responsible for the other Sections.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
AGRAWAL R., IMIELINSKI T., SWAMI A. (1993) Mining Associations between Sets of Items in Massive Databases, Proceedings of the ACM-SIGMOD 1993 Int’l Conference on Management of Data, Washington D.C.: 207–216.
BOCK H., DIDAY E. (2000) Analysis of Symbolic Data, Springer Verlag, Heidelberg.
BOCCI L., RIZZI A. (2000) Misure di prossimità nell’analisi dei dati simbolici. In: Atti della XL Riunione Scientifica della Società Italiana di Statistica, Sessioni Plenarie e specializzate, Firenze, 91–102.
BRUZZESE D., DAVINO C. (2002) Post Analysis of Association Rules in a Symbolic Framework. In: Atti della XLI Riunione Scientifica della SIS, Milano, 63–66.
GRASSIA M.G., MURATORE M.G. (2001) I controlli nei questionari CATI dell’indagine ISTAT sulla sicurezza dei cittadini. In: FABBRIS L. (ed) CAPTOR 2000. Qualità della didattica e sistemi computer-assisted, CLEUP, Padova: 309–326.
GETTLER-SUMMA M. (1998) MGS in SODAS: Marking and Generalization by Symbolic Objects in the Symbolic Official Data Analysis Software, Cahier9935, Université Dauphine LISE CEREMADE, Paris.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Physica-Verlag Heidelberg
About this chapter
Cite this chapter
Balbi, S., Grassia, M.G. (2007). Profiling and Labour Market Accessibility for the Graduates in Economics at Naples University. In: Fabbris, L. (eds) Effectiveness of University Education in Italy. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1751-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1751-5_25
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1749-2
Online ISBN: 978-3-7908-1751-5
eBook Packages: Business and EconomicsEconomics and Finance (R0)