Trent University Graduate Thesis Collection

Item Description
Identifier
tula:etd
Type
Collection
Language
eng
Extent
1 item
Rights
Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
Displaying 1 - 1 of 1

Results per page

Displaying 1 - 1 of 1

Fraud Detection in Financial Businesses Using Data Mining Approaches

22565-Thumbnail Image.png
Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Moudarres, Anissa Nour, Thesis advisor (ths): McConnell, Sabine, Thesis advisor (ths): Hurley, Richard, Degree granting institution (dgg): Trent University
Abstract: <p>The purpose of this research is to apply four methods on two data sets, a Synthetic</p><p>dataset and a Real-World dataset, and compare the results to each other with the</p><p>intention of arriving at methods to prevent fraud. Methods used include Logistic Regression,</p><p>Isolation Forest, Ensemble Method and Generative Adversarial Networks.</p… more
Full Text: Fraud Detection in Financial Businesses Using Data Mining Approaches A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Faculty of Arts and Science Peterborough, …