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題名 Similarity Search in Transaction Databases with a Two-Level Bounding Mechanism
作者 J-C- Chuang;C-W- Cho;陳良弼
日期 2006
上傳時間 16-十二月-2008 16:44:39 (UTC+8)
摘要 In this paper, we propose a novel indexing method for similarity search in transaction databases where the frequency of database updates can be high. In our method, the incoming transactions are incrementally classified into clusters. The transactions in a cluster are represented using two features, namely the union and the intersection of all the transactions. Based on these two features, the transactions in a cluster are further divided into disjoint groups. As a result, all the transactions are organized as a two-level index structure. With this index, the insertion of a transaction can be quickly done because only a particular cluster needs to be modified. Moreover, when conducting a similarity search, we can compute for each level the lower and upper bounds on the distance between the query and each transaction in the cluster. Based on these bounds, the costs on the distance computation can be greatly reduced.
關聯 Lecture Notes in Computer Science, 3882, 572-586
資料類型 article
DOI http://dx.doi.org/10.1007/11733836_40
dc.creator (作者) J-C- Chuang;C-W- Cho;陳良弼en_US
dc.date (日期) 2006en_US
dc.date.accessioned 16-十二月-2008 16:44:39 (UTC+8)-
dc.date.available 16-十二月-2008 16:44:39 (UTC+8)-
dc.date.issued (上傳時間) 16-十二月-2008 16:44:39 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/15001-
dc.description.abstract (摘要) In this paper, we propose a novel indexing method for similarity search in transaction databases where the frequency of database updates can be high. In our method, the incoming transactions are incrementally classified into clusters. The transactions in a cluster are represented using two features, namely the union and the intersection of all the transactions. Based on these two features, the transactions in a cluster are further divided into disjoint groups. As a result, all the transactions are organized as a two-level index structure. With this index, the insertion of a transaction can be quickly done because only a particular cluster needs to be modified. Moreover, when conducting a similarity search, we can compute for each level the lower and upper bounds on the distance between the query and each transaction in the cluster. Based on these bounds, the costs on the distance computation can be greatly reduced.en-US
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Lecture Notes in Computer Science, 3882, 572-586en_US
dc.title (題名) Similarity Search in Transaction Databases with a Two-Level Bounding Mechanismen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/11733836_40en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/11733836_40en_US