Anomaly detection in Financial Data

Yetong Li ()
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Yetong Li: Wuhan University of Technology, School of Management

A chapter in Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023), 2024, pp 419-426 from Springer

Abstract: Abstract The business world is a colorful and diverse world in which the integration and communication of many fields will be involved. In order to explore this world, it is necessary to master the basic language of this world - financial statements; however, the prerequisite for the stable operation of the business world is that the financial data of each company are in legal, fair and objective. These fraudulent practices can have multiple effects, which may affect the rights and interests of stakeholders such as consumers, investors and even the entire business world, which requires the presence of auditors, but they need to invest a lot of manpower to deal with the complex and laborious work. find some detection algorithms that can help auditors to increase the efficiency of their work while increasing the detection of financial data sets.

Keywords: accounting; auditing; financial data (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-268-2_46

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