Une approche anthropocentrée interactive pour l'aide à la décision en marketing bancaire

Authors:
Olivier Couturier;Engelbert Mephu Nguifo
Affiliations:
CRIL CNRS FRE, Université d'Artois - IUT de LENS, Rue Jean Souvraz, Lens Cedex;CRIL CNRS FRE, Université d'Artois - IUT de LENS, Rue Jean Souvraz, Lens Cedex
Venue:
IHM '06 Proceedings of the 18th International Conferenceof the Association Francophone d'Interaction Homme-Machine
Year:
2006

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Abstract

This paper is focused on real banking marketing problem. It is based on association rules mining which is one main problem in knowledge discovery in databases (KDD). However, current methods is limited to extract some particular information and to restore it. Several works were proposed to solve it thanks to user-driven process. In this kind of approach, the whole KDD process is tackled and not only the mining step. KDD design integrates the user at the heart of the process by playing a role of evolutionary heuristic. This paper focuses on the role of the expert and explains his help within the process. We highlight in our works the HCI preponderant significance. Indeed, it merges tacit and explicit knowledge and good results are produced in our application.