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» Indexing the Distance: An Efficient Method to KNN Processing
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ICDE
2004
IEEE
110views Database» more  ICDE 2004»
14 years 6 months ago
LDC: Enabling Search By Partial Distance In A Hyper-Dimensional Space
Recent advances in research fields like multimedia and bioinformatics have brought about a new generation of hyper-dimensional databases which can contain hundreds or even thousan...
Nick Koudas, Beng Chin Ooi, Heng Tao Shen, Anthony...
ICDE
2006
IEEE
196views Database» more  ICDE 2006»
14 years 6 months ago
Closure-Tree: An Index Structure for Graph Queries
Graphs have become popular for modeling structured data. As a result, graph queries are becoming common and graph indexing has come to play an essential role in query processing. ...
Huahai He, Ambuj K. Singh
EDBT
2008
ACM
132views Database» more  EDBT 2008»
14 years 5 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...
ICDE
2006
IEEE
160views Database» more  ICDE 2006»
14 years 6 months ago
Surface k-NN Query Processing
A k-NN query finds the k nearest-neighbors of a given point from a point database. When it is sufficient to measure object distance using the Euclidian distance, the key to effici...
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu 0003...
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 5 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...