Financial Fraud: Identifying Corporate Tax Report Fraud Under the Xgboost Algorithm

Li, Xianjuan

Financial Fraud: Identifying Corporate Tax Report Fraud Under the Xgboost Algorithm

Li, Xianjuan (2023) Financial Fraud: Identifying Corporate Tax Report Fraud Under the Xgboost Algorithm. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

INTRODUCTION: With the development of economy, the phenomenon of financial fraud has become more and more frequent.
OBJECTIVES: This paper aims to study the identification of corporate tax report falsification.
METHODS: Firstly, financial fraud was briefly introduced; then, samples were selected f

Item Type:	Article
Date Deposited:	04 Mar 2026 16:37
Last Modified:	11 Apr 2026 06:55
URI:	http://eprints.eai.eu/id/eprint/44602

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