{"title":"基于模糊规则的CRM数据挖掘模型","authors":"Cao Jie, Wu mingzan","doi":"10.1109/ICIEA.2007.4318505","DOIUrl":null,"url":null,"abstract":"It is needed for the strengthening of enterprises competed abilities to excavate customer resources and realize individual services. The thesis uses a swift fuzzy rules excavated method in the customer relationship management of E-commerce. Practice simulation show its authenticity, and then the thesis gain the intelligent customer relationship management model that faces to electronic business.","PeriodicalId":231682,"journal":{"name":"2007 2nd IEEE Conference on Industrial Electronics and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Data Excavation Model in CRM Based on Fuzzy Rule\",\"authors\":\"Cao Jie, Wu mingzan\",\"doi\":\"10.1109/ICIEA.2007.4318505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is needed for the strengthening of enterprises competed abilities to excavate customer resources and realize individual services. The thesis uses a swift fuzzy rules excavated method in the customer relationship management of E-commerce. Practice simulation show its authenticity, and then the thesis gain the intelligent customer relationship management model that faces to electronic business.\",\"PeriodicalId\":231682,\"journal\":{\"name\":\"2007 2nd IEEE Conference on Industrial Electronics and Applications\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd IEEE Conference on Industrial Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA.2007.4318505\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2007.4318505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Data Excavation Model in CRM Based on Fuzzy Rule
It is needed for the strengthening of enterprises competed abilities to excavate customer resources and realize individual services. The thesis uses a swift fuzzy rules excavated method in the customer relationship management of E-commerce. Practice simulation show its authenticity, and then the thesis gain the intelligent customer relationship management model that faces to electronic business.
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