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» Supporting top-k join queries in relational databases
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EUROPAR
2001
Springer
15 years 2 months ago
An Experimental Performance Evaluation of Join Algorithms for Parallel Object Databases
Abstract. Parallel relational databases have been successful in providing scalable performance for data intensive applications, and much work has been carried out on query processi...
Sandra de F. Mendes Sampaio, Jim Smith, Norman W. ...
PODS
1999
ACM
121views Database» more  PODS 1999»
15 years 1 months ago
Tracking Join and Self-Join Sizes in Limited Storage
Query optimizers rely on fast, high-quality estimates of result sizes in order to select between various join plans. Selfjoin sizes of relations provide bounds on the join size of...
Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario...
90
Voted
SIGMOD
2002
ACM
112views Database» more  SIGMOD 2002»
15 years 9 months ago
Minimal probing: supporting expensive predicates for top-k queries
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
Kevin Chen-Chuan Chang, Seung-won Hwang
ICDE
2006
IEEE
148views Database» more  ICDE 2006»
15 years 3 months ago
Estimating XML Structural Join Size Quickly and Economically
XML structural joins, which evaluate the containment (ancestor-descendant) relationships between XML elements, are important operations of XML query processing. Estimating structu...
Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yan, Ch...
ECIR
2011
Springer
14 years 1 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...