{"title":"大型数据库应用中一种高效的重复检测方法","authors":"Ji Zhang","doi":"10.1109/NSS.2010.78","DOIUrl":null,"url":null,"abstract":"In this paper, we developed a robust data cleaning technique, called PC-Filter+ (PC stands for partition comparison) based on its predecessor, for effective and efficient duplicate record detection in large databases. PC-Filter+ provides more flexible algorithmic options for constructing the Partition Comparison Graph (PCG). In addition, PC-Filter+ is able to deal with duplicate detection under different memory constraints.","PeriodicalId":127173,"journal":{"name":"2010 Fourth International Conference on Network and System Security","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An Efficient and Effective Duplication Detection Method in Large Database Applications\",\"authors\":\"Ji Zhang\",\"doi\":\"10.1109/NSS.2010.78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we developed a robust data cleaning technique, called PC-Filter+ (PC stands for partition comparison) based on its predecessor, for effective and efficient duplicate record detection in large databases. PC-Filter+ provides more flexible algorithmic options for constructing the Partition Comparison Graph (PCG). In addition, PC-Filter+ is able to deal with duplicate detection under different memory constraints.\",\"PeriodicalId\":127173,\"journal\":{\"name\":\"2010 Fourth International Conference on Network and System Security\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fourth International Conference on Network and System Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSS.2010.78\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth International Conference on Network and System Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSS.2010.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient and Effective Duplication Detection Method in Large Database Applications
In this paper, we developed a robust data cleaning technique, called PC-Filter+ (PC stands for partition comparison) based on its predecessor, for effective and efficient duplicate record detection in large databases. PC-Filter+ provides more flexible algorithmic options for constructing the Partition Comparison Graph (PCG). In addition, PC-Filter+ is able to deal with duplicate detection under different memory constraints.
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