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Learning Environment for Life Time Value Calculation of Customers in Insurance Domain

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Genetic and Evolutionary Computation – GECCO 2004 (GECCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3103))

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Abstract

A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through the Technical management plus Financial management of the funds gathered on the market. The profitability of a given customer can be evaluated through its Life Time Value (LTV). We aim at applying evolutionary algorithms to the problem of forecasting the future LTV in the Insurance Business. The Framework developed within the Eureka cofunded research projects HPPC/SEA and IKF has been adapted to the Insurance Domain through a dedicated Genetic Engine. The solution uses RDF and XMLcompliant standard. The idea of using evolutionary algorithms to design fuzzy systems date from the beginning of the Nineties and a fair body of work has been carried out throughout the past decade. The approach we followed uses an evolutionary algorithm to evolve fuzzy classifiers of the data set.

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Author information

Authors and Affiliations

  1. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante 65, I-26013, Crema, CR, Italy

    Andrea Tettamanzi

  2. Nomos Sistema S.p.A., Viale Monza 259, I-20126, Milano, MI, Italy

    Luca Sammartino, Mikhail Simonov & Massimo Soroldoni

  3. Genetica S.r.l., Via San Dionigi 15, I-20139, Milano, MI, Italy

    Mauro Beretta

Authors
  1. Andrea Tettamanzi
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  2. Luca Sammartino
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  3. Mikhail Simonov
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  4. Massimo Soroldoni
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  5. Mauro Beretta
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Editor information

Editors and Affiliations

  1. Indian Institute of Technology Kanpur, Department of Mechanical Engineering, Kanpur Genetic Algorithms Laboratory (KanGAL), Kanpur, 208016, Uttar Pradesh, India

    Kalyanmoy Deb

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© 2004 Springer-Verlag Berlin Heidelberg

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Tettamanzi, A., Sammartino, L., Simonov, M., Soroldoni, M., Beretta, M. (2004). Learning Environment for Life Time Value Calculation of Customers in Insurance Domain. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_132

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  • DOI: https://doi.org/10.1007/978-3-540-24855-2_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22343-6

  • Online ISBN: 978-3-540-24855-2

  • eBook Packages: Springer Book Archive

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