{"title":"人工智能与大数据在现代财务管理中的应用","authors":"Ning Wang, Yang Liu, Zhongmin Liu, Xinying Huang","doi":"10.1109/ICAIE50891.2020.00027","DOIUrl":null,"url":null,"abstract":"This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.","PeriodicalId":164823,"journal":{"name":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Application of Artificial Intelligence and Big Data in Modern Financial Management\",\"authors\":\"Ning Wang, Yang Liu, Zhongmin Liu, Xinying Huang\",\"doi\":\"10.1109/ICAIE50891.2020.00027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.\",\"PeriodicalId\":164823,\"journal\":{\"name\":\"2020 International Conference on Artificial Intelligence and Education (ICAIE)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Artificial Intelligence and Education (ICAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIE50891.2020.00027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Artificial Intelligence and Education (ICAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIE50891.2020.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Artificial Intelligence and Big Data in Modern Financial Management
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.