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» Optimization Techniques for Queries with Expensive Methods
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EDBT
2009
ACM
145views Database» more  EDBT 2009»
13 years 11 months ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
WSC
2004
13 years 8 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
MICRO
2008
IEEE
146views Hardware» more  MICRO 2008»
13 years 7 months ago
A small cache of large ranges: Hardware methods for efficiently searching, storing, and updating big dataflow tags
Dynamically tracking the flow of data within a microprocessor creates many new opportunities to detect and track malicious or erroneous behavior, but these schemes all rely on the...
Mohit Tiwari, Banit Agrawal, Shashidhar Mysore, Jo...
SIGMOD
2011
ACM
176views Database» more  SIGMOD 2011»
12 years 10 months ago
Sharing work in keyword search over databases
An important means of allowing non-expert end-users to pose ad hoc queries — whether over single databases or data integration systems — is through keyword search. Given a set...
Marie Jacob, Zachary G. Ives
DAWAK
2001
Springer
13 years 12 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...