{"title":"基于高阶动态贝叶斯网络的企业财务数据异常判断方法","authors":"Lili Wang","doi":"10.1504/ijise.2023.10057518","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":35142,"journal":{"name":"International Journal of Industrial and Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Judgement method of enterprise financial data abnormality based on high-order dynamic Bayesian network\",\"authors\":\"Lili Wang\",\"doi\":\"10.1504/ijise.2023.10057518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":35142,\"journal\":{\"name\":\"International Journal of Industrial and Systems Engineering\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial and Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijise.2023.10057518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial and Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijise.2023.10057518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
期刊介绍:
In today"s global economy, the most successful engineering managers rely on a combination of technical skills and business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop the ability to address complex industrial issues, emphasising on how to design, run, control and optimise production systems. The field of industrial engineering embraces a broad spectrum of technical activities including the classical techniques of work methods, production and facilities planning, quality control and safety. It also embraces the fields of human factors, operations research, manufacturing systems, and organisation and management systems.