Des études de cas illustrant les techniques d'analyse et de quantification des risques issues de la science des données dans le domaine des assurances. ©Electre 2025
The use of algorithms exploiting heterogeneous and often high- volume data has developed very rapidly in recent years, taking advantage of increasing computing capacity and data collected by GAFA.
These techniques first appeared in the insurance world to meet management or marketing needs : dimensioning of call centers, customer selection, automated analysis of contractual clauses, automation of underwriting processes, etc.
Even if a few old attempts can be spotted, it is only recently that actuaries have started to integrate data science techniques more systematically into their « toolbox » and have started to identify issues where these approaches could prove to be more efficient than the usual approaches.
In this book, at the crossroads of actuarial and data science, you will find a state of the art of the use of these techniques for risk analysis and quantification.
Intended for students, academics and practitioners, it aims to provide a working basis and lines of thought for an enlightened use of data science in actuarial science.
Paru le : 05/09/2020
Thématique : Economie générale
Auteur(s) : Non précisé.
Éditeur(s) :
Economica
Collection(s) : Assurance audit actuariat
Contributeur(s) : Editeur scientifique (ou intellectuel) : Frédéric Planchet - Editeur scientifique (ou intellectuel) : Christian Robert - Préfacier : Michael de Toldi
Série(s) : Non précisé.
ISBN : 978-2-7178-7137-1
EAN13 : 9782717871371
Reliure : Broché
Pages : 403
Hauteur: 24.0 cm / Largeur 16.0 cm
Épaisseur: 2.1 cm
Poids: 1000 g
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