{"title":"关键:客户-服务器规则归纳技术,用于从大型数据库获取工业知识","authors":"A. Al-Attar","doi":"10.1109/RIDE.1997.583703","DOIUrl":null,"url":null,"abstract":"This paper describes a European Commission funded project to develop and demonstrate an advanced client-server induction system capable of supporting efficient effective data mining of very large databases in business environments. The project combines the induction technology of Attar Software, the HPC application enabling expertise of the Universities of Southampton and Stuttgart, and the user-pull of two very different large database users; GEHE, the German pharmaceutical wholesaler, and Lloyds-TSB the British banking group.","PeriodicalId":177468,"journal":{"name":"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CRITIKAL: client-server rule induction technology for industrial knowledge acquisition from large databases\",\"authors\":\"A. Al-Attar\",\"doi\":\"10.1109/RIDE.1997.583703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a European Commission funded project to develop and demonstrate an advanced client-server induction system capable of supporting efficient effective data mining of very large databases in business environments. The project combines the induction technology of Attar Software, the HPC application enabling expertise of the Universities of Southampton and Stuttgart, and the user-pull of two very different large database users; GEHE, the German pharmaceutical wholesaler, and Lloyds-TSB the British banking group.\",\"PeriodicalId\":177468,\"journal\":{\"name\":\"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIDE.1997.583703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIDE.1997.583703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CRITIKAL: client-server rule induction technology for industrial knowledge acquisition from large databases
This paper describes a European Commission funded project to develop and demonstrate an advanced client-server induction system capable of supporting efficient effective data mining of very large databases in business environments. The project combines the induction technology of Attar Software, the HPC application enabling expertise of the Universities of Southampton and Stuttgart, and the user-pull of two very different large database users; GEHE, the German pharmaceutical wholesaler, and Lloyds-TSB the British banking group.