{"title":"数据挖掘经理指南","authors":"D. C. Chou, A. Y. Chou","doi":"10.1201/1078/43189.16.4.19990901/31201.5","DOIUrl":null,"url":null,"abstract":"Abstract Data-mining technology allows corporate managers to extract implicit facts from the existing enterprise databases. Data mining aims to reveal a large number of facts about corporate data through a structured online process. This technology can be used to assist corporate decision-making process. This article provides a manager's guide to effectively prepare and implement datamining methods, technologies, and processes.","PeriodicalId":117295,"journal":{"name":"Inf. Syst. Manag.","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A Manager's Guide to Data Mining\",\"authors\":\"D. C. Chou, A. Y. Chou\",\"doi\":\"10.1201/1078/43189.16.4.19990901/31201.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Data-mining technology allows corporate managers to extract implicit facts from the existing enterprise databases. Data mining aims to reveal a large number of facts about corporate data through a structured online process. This technology can be used to assist corporate decision-making process. This article provides a manager's guide to effectively prepare and implement datamining methods, technologies, and processes.\",\"PeriodicalId\":117295,\"journal\":{\"name\":\"Inf. Syst. Manag.\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inf. Syst. Manag.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/1078/43189.16.4.19990901/31201.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inf. Syst. Manag.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/1078/43189.16.4.19990901/31201.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract Data-mining technology allows corporate managers to extract implicit facts from the existing enterprise databases. Data mining aims to reveal a large number of facts about corporate data through a structured online process. This technology can be used to assist corporate decision-making process. This article provides a manager's guide to effectively prepare and implement datamining methods, technologies, and processes.