Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data

Joint Authors

Gu, Xin
Liu, Jian
Shang, Chao

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-24

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Philosophy

Abstract EN

At present, there are more and more frauds in the financial field.

The detection and prevention of financial frauds are of great significance for regulating and maintaining a reasonable financial order.

Deep learning algorithms are widely used because of their high recognition rate, good robustness, and strong implementation.

Therefore, in the context of e-commerce big data, this paper proposes a quantitative detection algorithm for financial fraud based on deep learning.

First, the encoders are used to extract the features of the behaviour.

At the same time, in order to reduce the computational complexity, the feature extraction is restricted to the space-time volume of the dense trajectory.

Second, the neural network model is used to transform features into behavioural visual word representations, and feature fusion is performed using weighted correlation methods to improve feature classification capabilities.

Finally, sparse reconstruction errors are used to judge and detect financial fraud.

This method builds a deep neural network model with multiple hidden layers, learns the characteristic expression of the data, and fully depicts the rich internal information of the data, thereby improving the accuracy of financial fraud detection.

Experimental results show that this method can effectively learn the essential characteristics of the data, and significantly improve the detection rate of fraud detection algorithms.

American Psychological Association (APA)

Liu, Jian& Gu, Xin& Shang, Chao. 2020. Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143236

Modern Language Association (MLA)

Liu, Jian…[et al.]. Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1143236

American Medical Association (AMA)

Liu, Jian& Gu, Xin& Shang, Chao. Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143236

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1143236