Paper Info
Title
On the Application of SDC Stream Methods to Card Payments Analytics.
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.
Year
Venue
Field
2018
MDAI
Data stream mining,Mobile payment,Computer science,Computer security,Financial services,Artificial intelligence,Analytics,Online payment,Payment,Machine learning,Statistical disclosure control
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Miguel Núñez del Prado Cortez101.01
Jordi Nin231126.53