Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/132900
Title: LINP: Supporting similarity search in unstructured peer-to-peer networks
Authors: Cui, B.
Qian, W.
Xu, L. 
Zhou, A.
Issue Date: 2007
Source: Cui, B., Qian, W., Xu, L., Zhou, A. (2007). LINP: Supporting similarity search in unstructured peer-to-peer networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4505 LNCS : 127-135. ScholarBank@NUS Repository.
Abstract: An important problem that confronts peer-to-peer (P2P) systems is efficient support for content-based search. In this paper, we look at how similarity query in high-dimensional spaces can be supported in unstructured P2P systems. We design an efficient index mechanism, named Linking Identical Neighborly Partitions (LINP), which takes advantage of both space partitioning and routing indices techniques. We evaluate our proposed scheme over various data sets, and experimental results show the efficacy of our approach. © Springer-Verlag Berlin Heidelberg 2007.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/132900
ISBN: 9783540724834
ISSN: 03029743
Appears in Collections:Staff Publications

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