[HTML][HTML] Intelligent financial fraud detection practices in post-pandemic era
The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
EWT Ngai, Y Hu, YH Wong, Y Chen, X Sun - Decision support systems, 2011 - Elsevier
This paper presents a review of—and classification scheme for—the literature on the
application of data mining techniques for the detection of financial fraud. Although financial …
application of data mining techniques for the detection of financial fraud. Although financial …
Data mining for credit card fraud: A comparative study
S Bhattacharyya, S Jha, K Tharakunnel… - Decision support …, 2011 - Elsevier
Credit card fraud is a serious and growing problem. While predictive models for credit card
fraud detection are in active use in practice, reported studies on the use of data mining …
fraud detection are in active use in practice, reported studies on the use of data mining …
Performance of machine learning techniques in the detection of financial frauds
I Sadgali, N Sael, F Benabbou - Procedia computer science, 2019 - Elsevier
Financial fraud presents more and more threat that has serious consequences in the
financial sector. As a result, financial institutions are forced to continually im-prove their fraud …
financial sector. As a result, financial institutions are forced to continually im-prove their fraud …
Financial socialization, financial education, and student loan debt
L Fan, S Chatterjee - Journal of Family and Economic Issues, 2019 - Springer
This study examines the role of financial socialization, financial knowledge, and receiving
financial education on student loan repayment behaviors and related financial stress, as …
financial education on student loan repayment behaviors and related financial stress, as …
A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification
Y Li, C Yan, W Liu, M Li - Applied Soft Computing, 2018 - Elsevier
As a successful ensemble method, Random Forest has attracted much attention. In this
paper, individual classifiers are appropriately combined and a multiple classifier system with …
paper, individual classifiers are appropriately combined and a multiple classifier system with …
Detecting financial fraud using data mining techniques: A decade review from 2004 to 2015
M Albashrawi - Journal of Data Science, 2016 - airitilibrary.com
Objective: Financial fraud has been a big concern for many organizations across industries;
billions of dollars are lost yearly because of this fraud. So businesses employ data mining …
billions of dollars are lost yearly because of this fraud. So businesses employ data mining …
Ensemble learning for credit card fraud detection
Timely detection of fraudulent credit card transactions is a business critical and challenging
problem in Financial Industry. Specifically, we must deal with the highly skewed nature of the …
problem in Financial Industry. Specifically, we must deal with the highly skewed nature of the …
Employing transaction aggregation strategy to detect credit card fraud
Credit card fraud costs consumers and the financial industry billions of dollars annually.
However, there is a dearth of published literature on credit card fraud detection. In this study …
However, there is a dearth of published literature on credit card fraud detection. In this study …
Vulnerable populations and individual social responsibility in prosocial crowdfunding: Does the framing matter for female and rural entrepreneurs?
M Figueroa-Armijos, JP Berns - Journal of Business Ethics, 2022 - Springer
Prosocial crowdfunding was originally conceived as a financial mechanism to assist
vulnerable unbanked populations, typically excluded from formal financial markets. It …
vulnerable unbanked populations, typically excluded from formal financial markets. It …