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» Approximate Selection Queries over Imprecise Data
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ALT
2009
Springer
16 years 2 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
ESA
2010
Springer
140views Algorithms» more  ESA 2010»
15 years 7 months ago
A Unified Approach to Approximate Proximity Searching
The inability to answer proximity queries efficiently for spaces of dimension d > 2 has led to the study of approximation to proximity problems. Several techniques have been pro...
Sunil Arya, Guilherme Dias da Fonseca, David M. Mo...
VLDB
2001
ACM
114views Database» more  VLDB 2001»
15 years 10 months ago
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
Estimating the number of distinct values is a wellstudied problem, due to its frequent occurrence in queries and its importance in selecting good query plans. Previous work has sh...
Phillip B. Gibbons
VLDB
2007
ACM
107views Database» more  VLDB 2007»
16 years 6 months ago
VGRAM: Improving Performance of Approximate Queries on String Collections Using Variable-Length Grams
Many applications need to solve the following problem of approximate string matching: from a collection of strings, how to find those similar to a given string, or the strings in ...
Chen Li, Bin Wang, Xiaochun Yang
VLDB
2002
ACM
113views Database» more  VLDB 2002»
16 years 6 months ago
Searching in metric spaces by spatial approximation
We propose a new data structure to search in metric spaces. A metric space is formed by a collection of objects and a distance function de ned among them, which satis es the trian...
Gonzalo Navarro