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VLDB
2009
ACM
136views Database» more  VLDB 2009»
14 years 5 months ago
Speed up interactive image retrieval
Heng Tao Shen, Shouxu Jiang, Kian-Lee Tan, Zi Huan...
VLDB
2009
ACM
124views Database» more  VLDB 2009»
14 years 5 months ago
Top-k typicality queries and efficient query answering methods on large databases
Ming Hua, Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, H...
VLDB
2009
ACM
124views Database» more  VLDB 2009»
14 years 5 months ago
Instance optimal query processing in spatial networks
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Shazia W. S...
VLDB
2009
ACM
130views Database» more  VLDB 2009»
14 years 5 months ago
Multi-dimensional top-k dominating queries
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Man Lung Yiu, Nikos Mamoulis
VLDB
2009
ACM
147views Database» more  VLDB 2009»
14 years 5 months ago
Authenticated indexing for outsourced spatial databases
Yin Yang, Stavros Papadopoulos, Dimitris Papadias,...
VLDB
2009
ACM
159views Database» more  VLDB 2009»
14 years 5 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
VLDB
2009
ACM
133views Database» more  VLDB 2009»
14 years 5 months ago
The RUM-tree: supporting frequent updates in R-trees using memos
Yasin N. Silva, Xiaopeng Xiong, Walid G. Aref
VLDB
2009
ACM
182views Database» more  VLDB 2009»
14 years 5 months ago
Guessing the extreme values in a data set: a Bayesian method and its applications
For a largenumber of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smallest)...
Mingxi Wu, Chris Jermaine