Kapetanakis, Stelios, Samakovitis, Georgios ORCID: 0000-0002-0076-8082, Gunasekera, P.V.G Buddhika Dinesh and Petridis, Miltos (2012) Monitoring financial transaction fraud with the use of case-based reasoning. In: 17th UK Case-Based Reasoning Workshop, 11 December 2012, Cambridge, UK. (Unpublished)

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Abstract

Financial transaction fraud constitutes an acute problem domain for detection and early warning systems. Despite that different branches of AI have been addressing the problem since the late 90s, CBR approaches have seldom been applied. This paper provides a proof of concept approach and experimental investigation for the use of a CBR Intelligent Monitoring System for detecting abnormal patterns in financial transaction flows. The representation of workflow related knowledge in this research using graphs is explained. The workflow process is orchestrated by a software system using BPEL technologies within a service-oriented architecture. Workflow cases are represented in terms of events and their corresponding temporal relationships. The matching and CBR retrieval mechanisms used in this research are explained and a simple evaluation of the approach is provided using simulation data. Further work on the system and the extension to a full intelligent monitoring and process optimisation system is finally presented.

Item Type:	Conference or Conference Paper (Paper)
Additional Information:	[1] This paper was first presented at the 17th UK Workshop on Case-Based Reasoning (17th UKCBR) held on 11th December in Cambridge, UK. The Workshop was held jointly with the British Computer Society SGAI AI-2012 Conference on Artificial Intelligence and its Applications which took place from 11-13 December 2012.
Uncontrolled Keywords:	abnormal financial transactions, fraud detection, case-based reasoning, business workflows, temporal reasoning, graph similarity
Subjects:	H Social Sciences > HF Commerce > HF5601 Accounting Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computing and Information Systems
Related URLs:	Organisation Publisher Organisation
Last Modified:	14 Dec 2020 18:34
URI:	http://gala.gre.ac.uk/id/eprint/9780

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