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A Customer Relationship Management Case Study Based on Banking Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10122))

Abstract

This work aims to show a product recommender construction approach within the banking industry. Such a model costruction should respect several methodological and business constraints. In particular, analysis’ outcome should be a model which must be easily interpretable when shown to business people. We start from a Customer Relationship Management data set collected in Banking industry. Formerly, data is prepared by managing missing values and keeping only the most relevant variables. Latterly, we apply some algorithms and evaluate them using diagnostic tools.

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Notes

  1. 1.

    Considered data is referred to a subset of a leading Bank’s clients. More detailed informations and exploratory analysis are not here reported due to Compliance issues.

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Acknowledgments

We want to acknowledge Raffaele Brevetti, Luca Cilumbriello, Federica Perugini, Nicolò Russo and Dr. Enrico Tonini for their contribute in this work.

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Correspondence to Ivan Luciano Danesi .

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© 2016 Springer International Publishing AG

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Danesi, I.L., Rea, C. (2016). A Customer Relationship Management Case Study Based on Banking Data. In: Pardalos, P., Conca, P., Giuffrida, G., Nicosia, G. (eds) Machine Learning, Optimization, and Big Data. MOD 2016. Lecture Notes in Computer Science(), vol 10122. Springer, Cham. https://doi.org/10.1007/978-3-319-51469-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-51469-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51468-0

  • Online ISBN: 978-3-319-51469-7

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