On the Application of SDC Stream Methods to Card Payments Analytics

Miguel Nuñez-Del-Prado, Jordi Nin

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

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.

Idioma originalAnglès
Títol de la publicacióModeling Decisions for Artificial Intelligence - 15th International Conference, MDAI 2018, Proceedings
EditorsVicenc Torra, Vicenc Torra, Yasuo Narukawa, Manuel González-Hidalgo, Isabel Aguilo
EditorSpringer Verlag
Pàgines306-318
Nombre de pàgines13
ISBN (imprès)9783030002015
DOIs
Estat de la publicacióPublicada - 2018
Publicat externament
Esdeveniment15th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2018 - Palma de Mallorce, Spain
Durada: 15 d’oct. 201818 d’oct. 2018

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum11144 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència15th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2018
País/TerritoriSpain
CiutatPalma de Mallorce
Període15/10/1818/10/18

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