基于大數(shù)據(jù)的審計(jì)案件線索分類研究

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摘要：隨著大數(shù)據(jù)技術(shù)的迅速發(fā)展與應(yīng)用，審計(jì)案件線索分類面臨著諸多挑戰(zhàn)，如數(shù)據(jù)質(zhì)量與準(zhǔn)確性不高、數(shù)據(jù)處理與分析難度增加、數(shù)據(jù)隱私與保密性需強(qiáng)化、缺乏標(biāo)準(zhǔn)與規(guī)范等。針對這些問題，該文提出了相應(yīng)的策略，旨在提高審計(jì)案件線索分類的效率與準(zhǔn)確性。同時(shí)，本文也可以為其他領(lǐng)域的數(shù)據(jù)分析提供一定的借鑒與參考。

關(guān)鍵詞：大數(shù)據(jù)；審計(jì)案件線索；分類策略

doi：10.3969/J.ISSN.1672-7274.2024.10.014

中圖分類號：F 239；TP 3                 文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2024）10-00-04

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

Abstract： 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.

Keywords： big data; audit case clues; classification strategy

在當(dāng)今社會(huì)，大數(shù)據(jù)技術(shù)的迅速發(fā)展與廣泛應(yīng)用為各個(gè)領(lǐng)域帶來了巨大的機(jī)遇與挑戰(zhàn)。（剩余5094字）