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ICDE
2002
IEEE
146views Database» more  ICDE 2002»
14 years 5 months ago
Query Estimation by Adaptive Sampling
The ability to provide accurate and efficient result estimations of user queries is very important for the query optimizer in database systems. In this paper, we show that the tra...
Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi
PODS
2000
ACM
146views Database» more  PODS 2000»
13 years 8 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch
SIGIR
2006
ACM
13 years 10 months ago
Distributed query sampling: a quality-conscious approach
We present an adaptive distributed query-sampling framework that is quality-conscious for extracting high-quality text database samples. The framework divides the query-based samp...
James Caverlee, Ling Liu, Joonsoo Bae
TREC
2001
13 years 5 months ago
The Bias Problem and Language Models in Adaptive Filtering
We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is ...
Yi Zhang 0001, James P. Callan
ADC
2007
Springer
145views Database» more  ADC 2007»
13 years 10 months ago
Selectivity Estimation by Batch-Query based Histogram and Parametric Method
Histograms are used extensively for selectivity estimation and approximate query processing. Workloadaware dynamic histograms can self-tune itself based on query feedback without ...
Jizhou Luo, Xiaofang Zhou, Yu Zhang, Heng Tao Shen...