Some Experimental Issues in Financial Fraud Detection: An Investigation

Research output: Book chapter/Published conference paperConference paper

2 Citations (Scopus)

Abstract

Financial fraud detection is an important problem with a number of design aspects to consider. Issues such as algorithm selection and performance analysis will affect the perceived ability of proposed solutions, so for auditors and re-searchers to be able to sufficiently detect financial fraud it is necessary that these issues be thoroughly explored. In this paper we will revisit the key performance metrics used for financial fraud detection with a focus on credit card fraud, critiquing the prevailing ideas and offering our own understandings. There are many different performance metrics that have been employed in prior financial fraud detection research. We will analyse several of the popular metrics and compare their effectiveness at measuring the ability of detection mechanisms. We further investigated the performance of a range of computational intelligence techniques when applied to this problem domain, and explored the efficacy of several binary classification methods.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Smart City
Subtitle of host publicationSmartCity 2015
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1155-1158
Number of pages4
DOIs
Publication statusPublished - 2015
Event5th International Symposium on Cloud and Service Computing: SC2 2015 - The Library of UESTC, Chengdu, China
Duration: 19 Dec 201521 Dec 2015
http://umc.uestc.edu.cn/conference/SC22015/index.php (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7453733 (Conference proceedings)

Conference

Conference5th International Symposium on Cloud and Service Computing
CountryChina
CityChengdu
Period19/12/1521/12/15
OtherThe “Cloud” is a natural evolution of distributed computing and of the widespread adaption of virtualization and SOA. Services computing is a new cross-discipline that covers the science and technology needed to bridge the gap between business services and IT services.

In Cloud computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology. The goal of services computing is to develop new computing technology and thereby enable more advanced IT services to support business services more efficiently and effectively. SC2 2015 is an important forum for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IT-driven cloud computing technologies and services, as well as to identify emerging research topics and define the future directions of cloud and services Computing.
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