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Authors: Fabien Vilar 1 ; Marc Le Goc 1 ; Philippe Bouche 2 and Pierre-Yves Rolland 1

Affiliations: 1 Laboratory for Sciences of Information and Systems (LSIS), France ; 2 TOM4, France

ISBN: 978-989-758-157-1

Keyword(s): Data Mining, Knowledge Engineering, Online and Real Time Fraud Detection, Fraud Modelisation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Representation Techniques ; Soft Computing ; Symbolic Systems

Abstract: Internal frauds in the banking industry represent a huge cost and this problem is particularly difficult to solve because, by construction, swindlers being very imaginative persons, the fraud schemata evolves continuously. Fraud detection systems must then learn from the continuously new fraud schematas, making them difficult to design. This paper proposes a new theoretical and practical approach to detect internal frauds and to model fraud schematas. This approach is based on a particular method of abstraction that reduces the complexity of the problem from O(n2) to O(n) making its implementation in a an Java program that detects and models the frauds in real time and online with a simple professional personal computer. The results of this program are presented with its application on a real-world fraud provided by a world wide French bank.

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Paper citation in several formats:
Vilar, F.; Le Goc, M.; Bouche, P. and Rolland, P. (2015). Discovering Internal Fraud Models in a Stream of Banking Transactions.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 346-351. DOI: 10.5220/0005639303460351

@conference{ecta15,
author={Fabien Vilar. and Marc Le Goc. and Philippe Bouche. and Pierre{-}Yves Rolland.},
title={Discovering Internal Fraud Models in a Stream of Banking Transactions},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={346-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005639303460351},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Discovering Internal Fraud Models in a Stream of Banking Transactions
SN - 978-989-758-157-1
AU - Vilar, F.
AU - Le Goc, M.
AU - Bouche, P.
AU - Rolland, P.
PY - 2015
SP - 346
EP - 351
DO - 10.5220/0005639303460351

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