Evaluation of Fraud Detection Data Mining Used in the Auditing Process of the Defense...
Sales Rank: 3978341
$31.95 At Amazon
Spiral-bound
Publisher: Storming Media 2002
Language: English
ISBN-10: 1423509358
ISBN-13: 978-1423509356
Product Description
This is a NAVAL POSTGRADUATE SCHOOL MONTEREY CA report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A988404. The abstract provided by the Pentagon follows: The Defense Finance and Accounting Service (DFAS) uses data mining to analyze millions of vendor transactions each year in an effort to combat fraud. The long timeline required to investigate potential fraud precludes DFAS from using fraud as a supervised modeling performance measure, so instead it uses the conditions needing improvement (CNI) found during site audits. To verify this method, a thorough literature review is conducted which demonstrates a clear relationship between fraud and CNIs. Then recent site audits are analyzed to prove that supervised modeling is detecting CNIs at a higher rate than random record selection. The next phase of the research evaluates recent models to determine if models are improving with each new audit. Finally, to enhance the supervised modeling process, four initiatives are proposed: a revised model scoring implementation, a knowledge base of audit results, alternative model streams for record selection and a recommended modeling process for the CNI knowledge base. The goal of the proposed enhancements is to improve an already successful program so that the data-mining efforts will further reduce taxpayer losses through fraud, error or misappropriation of funds.
