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Credit Card Fraud Detection through Parenclitic Network Analysis
Joint Authors
Zanin, Massimiliano
Romance, Miguel
Moral, Santiago
Criado, Regino
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications.
While this has hitherto been tackled through data analysis techniques, the resemblances between this and other problems, like the design of recommendation systems and of diagnostic/prognostic medical tools, suggest that a complex network approach may yield important benefits.
In this paper we present a first hybrid data mining/complex network classification algorithm, able to detect illegal instances in a real card transaction data set.
It is based on a recently proposed network reconstruction algorithm that allows creating representations of the deviation of one instance from a reference group.
We show how the inclusion of features extracted from the network data representation improves the score obtained by a standard, neural network-based classification algorithm and additionally how this combined approach can outperform a commercial fraud detection system in specific operation niches.
Beyond these specific results, this contribution represents a new example on how complex networks and data mining can be integrated as complementary tools, with the former providing a view to data beyond the capabilities of the latter.
American Psychological Association (APA)
Zanin, Massimiliano& Romance, Miguel& Moral, Santiago& Criado, Regino. 2018. Credit Card Fraud Detection through Parenclitic Network Analysis. Complexity،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1134788
Modern Language Association (MLA)
Zanin, Massimiliano…[et al.]. Credit Card Fraud Detection through Parenclitic Network Analysis. Complexity No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1134788
American Medical Association (AMA)
Zanin, Massimiliano& Romance, Miguel& Moral, Santiago& Criado, Regino. Credit Card Fraud Detection through Parenclitic Network Analysis. Complexity. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1134788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134788