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On the Application of SDC Stream Methods to Card Payments Analytics

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Book cover Modeling Decisions for Artificial Intelligence (MDAI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11144))

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Abstract

Banks and financial services have to constantly innovate their online payment services to avoid large digital companies take the control of online card transactions, relegating traditional banks to simple payments carriers. Apart from creating new payment methods (e.g. contact-less cards, mobile wallets, etc.), banks offers new services based on historical payments data to endow traditional payments methods with new services and functionalities. In this latter case, it is where privacy preserving techniques play a fundamental role ensuring personal data is managed full-filling all the applicable laws and regulations. In this paper, we introduce some ideas about how SDC stream anonymization methods could be used to mask payments data streams. Besides, we also provide some experimental results over a real card payments database.

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Notes

  1. 1.

    BBVA C360 – https://www.bbva.es/autonomos/banca-online/commerce360/index.jsp.

  2. 2.

    Banc Sabadell Kelvin Retail – https://www.bancsabadell.com/cs/Satellite/SabAtl/Kelvin-Retail/6000019696135/es/.

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Author information

Authors and Affiliations

  1. Universidad del Pacífico, Av. Salaverry 2020, Lima, Peru

    Miguel Nuñez-del-Prado

  2. BBVA Data & Analytics, Barcelona, Catalonia, Spain

    Jordi Nin

Authors
  1. Miguel Nuñez-del-Prado
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  2. Jordi Nin
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Corresponding author

Correspondence to Jordi Nin .

Editor information

Editors and Affiliations

  1. Maynooth University, Maynooth, Ireland

    Vicenç Torra

  2. Department Management Science, Tamagawa University, Tokyo, Japan

    Yasuo Narukawa

  3. University of the Balearic Islands, Palma de Mallorca, Spain

    Isabel Aguiló

  4. University of the Balearic Islands, Palma de Mallorca, Baleares, Spain

    Manuel González-Hidalgo

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Nuñez-del-Prado, M., Nin, J. (2018). On the Application of SDC Stream Methods to Card Payments Analytics. In: Torra, V., Narukawa, Y., Aguiló, I., González-Hidalgo, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2018. Lecture Notes in Computer Science(), vol 11144. Springer, Cham. https://doi.org/10.1007/978-3-030-00202-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-00202-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00201-5

  • Online ISBN: 978-3-030-00202-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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