{"title":"使用优先计数矩阵的字符串连接","authors":"Xia Cao, A. Tung, B. Ooi, K. Tan, Shuai Cheng Li","doi":"10.1109/SSDBM.2004.66","DOIUrl":null,"url":null,"abstract":"In this paper; we propose a filter-and-refine string join algorithm. While the filtering phase can rapidly prune away strings that are not joinable, the refinement phase employs a comprehensive algorithm to remove the remaining false alarms. The efficiency of the proposed scheme lies in the use of the precedence count matrix (PCM) for computing the edit distance between two sequences. With PCM, the complexity of sequence comparison is a constant time. We also evaluated the proposed sequence join algorithm, and our study shows that it outperforms the known techniques.","PeriodicalId":383615,"journal":{"name":"Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"String join using precedence count matrix\",\"authors\":\"Xia Cao, A. Tung, B. Ooi, K. Tan, Shuai Cheng Li\",\"doi\":\"10.1109/SSDBM.2004.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper; we propose a filter-and-refine string join algorithm. While the filtering phase can rapidly prune away strings that are not joinable, the refinement phase employs a comprehensive algorithm to remove the remaining false alarms. The efficiency of the proposed scheme lies in the use of the precedence count matrix (PCM) for computing the edit distance between two sequences. With PCM, the complexity of sequence comparison is a constant time. We also evaluated the proposed sequence join algorithm, and our study shows that it outperforms the known techniques.\",\"PeriodicalId\":383615,\"journal\":{\"name\":\"Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSDBM.2004.66\",\"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. 16th International Conference on Scientific and Statistical Database Management, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDBM.2004.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper; we propose a filter-and-refine string join algorithm. While the filtering phase can rapidly prune away strings that are not joinable, the refinement phase employs a comprehensive algorithm to remove the remaining false alarms. The efficiency of the proposed scheme lies in the use of the precedence count matrix (PCM) for computing the edit distance between two sequences. With PCM, the complexity of sequence comparison is a constant time. We also evaluated the proposed sequence join algorithm, and our study shows that it outperforms the known techniques.