{"title":"Accounting Auditing Risk Factors and its Information System Design based on the Analysis of Multi-Dimensional Data Characteristics","authors":"Changfu Yuan","doi":"10.1109/ICSCDS53736.2022.9760947","DOIUrl":null,"url":null,"abstract":"This article first introduces the research background, research content, research methods, and research significance of the research on accounting audit risk control based on multi-dimensional data feature analysis. This article focuses on the use of multi-dimensional data feature extraction and SAR value analysis for accounting firms. The problems existing in the whole work process are analyzed, and finally based on the feature-based dimensionality reduction processing, a targeted information system design for preventing and controlling accounting and auditing risks is proposed, which reduces the risk by 12.1%.","PeriodicalId":433549,"journal":{"name":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDS53736.2022.9760947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article first introduces the research background, research content, research methods, and research significance of the research on accounting audit risk control based on multi-dimensional data feature analysis. This article focuses on the use of multi-dimensional data feature extraction and SAR value analysis for accounting firms. The problems existing in the whole work process are analyzed, and finally based on the feature-based dimensionality reduction processing, a targeted information system design for preventing and controlling accounting and auditing risks is proposed, which reduces the risk by 12.1%.