{"title":"一个集成的基于规则和基于案例的客户服务管理推理系统","authors":"L. An, Jianyuan Yan, Ling-yun Tong","doi":"10.1109/ICEBE.2005.28","DOIUrl":null,"url":null,"abstract":"This paper presents a hybrid system that integrates case-based reasoning (CBR) and rule-based reasoning (RBR) supported by data warehouse for customer service management (CSM). Cases represented by XML are extracted into data warehouse after data cleaning, integration, selection, and transformation. By integrating OLAP with data mining based on rough set theory in multidimensional databases, online analytical mining in different granularity provides CBR with the flexibility to select the desired solutions for customers. Examples illustrate the effectiveness of the proposed system","PeriodicalId":118472,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'05)","volume":"127 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An integrated rule-based and case-based reasoning system for customer service management\",\"authors\":\"L. An, Jianyuan Yan, Ling-yun Tong\",\"doi\":\"10.1109/ICEBE.2005.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a hybrid system that integrates case-based reasoning (CBR) and rule-based reasoning (RBR) supported by data warehouse for customer service management (CSM). Cases represented by XML are extracted into data warehouse after data cleaning, integration, selection, and transformation. By integrating OLAP with data mining based on rough set theory in multidimensional databases, online analytical mining in different granularity provides CBR with the flexibility to select the desired solutions for customers. Examples illustrate the effectiveness of the proposed system\",\"PeriodicalId\":118472,\"journal\":{\"name\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"volume\":\"127 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on e-Business Engineering (ICEBE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEBE.2005.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2005.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An integrated rule-based and case-based reasoning system for customer service management
This paper presents a hybrid system that integrates case-based reasoning (CBR) and rule-based reasoning (RBR) supported by data warehouse for customer service management (CSM). Cases represented by XML are extracted into data warehouse after data cleaning, integration, selection, and transformation. By integrating OLAP with data mining based on rough set theory in multidimensional databases, online analytical mining in different granularity provides CBR with the flexibility to select the desired solutions for customers. Examples illustrate the effectiveness of the proposed system
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