Risk Identification and Evaluation Analysis of Engineering Audit Based on Data Mining
Keywords:
Data mining, Engineering audit, Risk identification, Risk evaluationAbstract
With the rapid development of information technology, data mining technology has been widely applied in various fields. In the field of engineering auditing, data mining techniques can help auditors identify and evaluate risks more effectively, thereby improving audit efficiency and quality. This article first introduces the basic concepts and methods of data mining technology, and then explores in detail the application of data mining in engineering audit risk identification and evaluation, including key steps such as data preprocessing, risk identification model construction, and risk assessment. Through practical case analysis, the feasibility and effectiveness of data mining technology in engineering auditing have been verified. This study not only provides new methods and ideas for engineering auditing, but also provides reference for the application of data mining technology in other fields.
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Copyright (c) 2025 Liang Zhang
This work is licensed under a Creative Commons Attribution 4.0 International License.
