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» Estimating query performance using class predictions
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BTW
2007
Springer
142views Database» more  BTW 2007»
14 years 1 months ago
Algebraic Query Optimization for Distributed Top-k Queries
: Distributed top-k query processing is increasingly becoming an essential functionality in a large number of emerging application classes. This paper addresses the efficient alge...
Thomas Neumann, Sebastian Michel
SSDBM
2006
IEEE
163views Database» more  SSDBM 2006»
14 years 1 months ago
ACache: Using Caching to Improve the Performance of Multiple Sequence Alignments
Multiple sequence alignment represents a class of powerful bioinformatics tools with many uses in computational biology ranging from discovery of characteristic motifs and conserv...
Xun Tu, Kajal T. Claypool, Cindy X. Chen
SPIRE
2010
Springer
13 years 5 months ago
Standard Deviation as a Query Hardness Estimator
In this paper a new Query Performance Prediction method is introduced. This method is based on the hypothesis that different score distributions appear for ‘hard’ and ‘easy...
Joaquín Pérez-Iglesias, Lourdes Arau...

Publication
502views
15 years 7 months ago
Spatio-Temporal Histograms
This paper presents a framework for building and continuously maintaining spatio-temporal histograms (ST-Histograms, for short). ST-Histograms are used for selectivity estimation o...
Hicham G. Elmongui, Mohamed F. Mokbel, Walid G. Ar...
SIGIR
2012
ACM
11 years 10 months ago
Active query selection for learning rankers
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
Mustafa Bilgic, Paul N. Bennett