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Decision Models for Application of M...

Bled, Philippe.

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Decision Models for Application of Machine Learning Methods for Fraud Detection.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Decision Models for Application of Machine Learning Methods for Fraud Detection./
作者:	Bled, Philippe.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 80-10.
Contained By:	Masters Abstracts International80-10.
標題:	Applied Mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13859270
ISBN:	9781392086858

Decision Models for Application of Machine Learning Methods for Fraud Detection.
Bled, Philippe.

Decision Models for Application of Machine Learning Methods for Fraud Detection. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 57 p.

Source: Masters Abstracts International, Volume: 80-10.

Thesis (M.S.)--The University of Tulsa, 2019.

This item must not be sold to any third party vendors.

Fraudulent transactions are a major expense for businesses and a hassle for customers. The development of machine learning and artificial neural networks can provide an improved solution to the problem of fraud. This thesis proposes economically informed models for tuning a binary classifier in order to minimize the expected cost of dealing with false positives and negatives. It constructs simulated dataset for fraudulent transactions at a retailer, then evaluates the performance of the proposed decision models. The decision models are bench-marked against established classification methods. The thesis demonstrates that the total cost incurred by fraudulent transactions can be significantly reduced by accounting for cost in the decision making process.

ISBN: 9781392086858Subjects--Topical Terms:

1669109
Applied Mathematics.
Subjects--Index Terms:

Decision

Decision Models for Application of Machine Learning Methods for Fraud Detection.
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