{"title":"使用SPIDER:一份体验报告","authors":"Nick Koudas, A. Marathe, D. Srivastava","doi":"10.1145/1142473.1142557","DOIUrl":null,"url":null,"abstract":"At AT&T Labs-Research, we have been developing a prototype system called SPIDER to efficiently support flexible string matching of attribute values in large databases. SPIDER has been used in AT&T, both as a key component of an operational portal for matching customer names and addresses, and for a variety of ad hoc data quality analyses. In this talk, we report on experiences with SPIDER.","PeriodicalId":416090,"journal":{"name":"Proceedings of the 2006 ACM SIGMOD international conference on Management of data","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using SPIDER: an experience report\",\"authors\":\"Nick Koudas, A. Marathe, D. Srivastava\",\"doi\":\"10.1145/1142473.1142557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At AT&T Labs-Research, we have been developing a prototype system called SPIDER to efficiently support flexible string matching of attribute values in large databases. SPIDER has been used in AT&T, both as a key component of an operational portal for matching customer names and addresses, and for a variety of ad hoc data quality analyses. In this talk, we report on experiences with SPIDER.\",\"PeriodicalId\":416090,\"journal\":{\"name\":\"Proceedings of the 2006 ACM SIGMOD international conference on Management of data\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2006 ACM SIGMOD international conference on Management of data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1142473.1142557\",\"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 of the 2006 ACM SIGMOD international conference on Management of data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1142473.1142557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
At AT&T Labs-Research, we have been developing a prototype system called SPIDER to efficiently support flexible string matching of attribute values in large databases. SPIDER has been used in AT&T, both as a key component of an operational portal for matching customer names and addresses, and for a variety of ad hoc data quality analyses. In this talk, we report on experiences with SPIDER.