{"title":"数据挖掘方法在企业财务管理中的应用研究","authors":"Jiajin Liu, Zhigang Huang","doi":"10.1109/AMCON.2018.8614814","DOIUrl":null,"url":null,"abstract":"By using such methods as data cleansing, transformation and mining implementation process, etc. related to data mining technique, enterprise financial activities and administrative affairs may be effectively allocated, organized, coordinated and controlled, and accordingly financial allocation process may be effectively optimized and economic benefits of enterprises may be steadily and rapidly enhanced. However by now, due to the improper use of the method, most enterprises in China may not reach this point, and therefore their economic benefits are difficult to be improved dramatically. For this reason, based on the overview of related theories on data mining methods, this Paper specifically analyzes the status quo and countermeasures of the application of data mining method in corporate fiscal management.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the Application of Data Mining Method in Enterprise Financial Management\",\"authors\":\"Jiajin Liu, Zhigang Huang\",\"doi\":\"10.1109/AMCON.2018.8614814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By using such methods as data cleansing, transformation and mining implementation process, etc. related to data mining technique, enterprise financial activities and administrative affairs may be effectively allocated, organized, coordinated and controlled, and accordingly financial allocation process may be effectively optimized and economic benefits of enterprises may be steadily and rapidly enhanced. However by now, due to the improper use of the method, most enterprises in China may not reach this point, and therefore their economic benefits are difficult to be improved dramatically. For this reason, based on the overview of related theories on data mining methods, this Paper specifically analyzes the status quo and countermeasures of the application of data mining method in corporate fiscal management.\",\"PeriodicalId\":438307,\"journal\":{\"name\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Advanced Manufacturing (ICAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMCON.2018.8614814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMCON.2018.8614814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on the Application of Data Mining Method in Enterprise Financial Management
By using such methods as data cleansing, transformation and mining implementation process, etc. related to data mining technique, enterprise financial activities and administrative affairs may be effectively allocated, organized, coordinated and controlled, and accordingly financial allocation process may be effectively optimized and economic benefits of enterprises may be steadily and rapidly enhanced. However by now, due to the improper use of the method, most enterprises in China may not reach this point, and therefore their economic benefits are difficult to be improved dramatically. For this reason, based on the overview of related theories on data mining methods, this Paper specifically analyzes the status quo and countermeasures of the application of data mining method in corporate fiscal management.