基于大数据的审计案件线索分类研究

Research on the Classification of Audit Case Clues Based on Big Data

随着大数据技术的迅速发展与应用,审计案件线索分类面临着诸多挑战,如数据质量与准确性不高、数据处理与分析难度增加、数据隐私与保密性需强化、缺乏标准与规范等。针对这些问题,该文提出了相应的策略,旨在提高审计案件线索分类的效率与准确性。同时,本文也可以为其他领域的数据分析提供一定的借鉴与参考。

With the rapid development and application of big data technology,the classification of audit case clues faces many challenges,such as low data quality and accuracy,increased difficulty in data processing and analysis,need to strengthen data privacy and confidentiality,and lack of standards and norms.In response to these issues,this article proposes corresponding strategies aimed at improving the efficiency and accuracy of audit case clues classification.At the same time,this article can also provide some reference for data analysis in other fields.