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» Computing Iceberg Queries Efficiently
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ESCIENCE
2007
IEEE
15 years 3 months ago
A Scalable and Efficient Prefix-Based Lookup Mechanism for Large-Scale Grids
Data sources, storage, computing resources and services are entities on Grids that require mechanisms for publication and lookup. A discovery service relies on efficient lookup to...
Philip Chan, David Abramson
ICDE
2008
IEEE
160views Database» more  ICDE 2008»
16 years 1 months ago
Exploiting Lineage for Confidence Computation in Uncertain and Probabilistic Databases
We study the problem of computing query results with confidence values in ULDBs: relational databases with uncertainty and lineage. ULDBs, which subsume probabilistic databases, o...
Anish Das Sarma, Martin Theobald, Jennifer Widom
ICDE
2005
IEEE
240views Database» more  ICDE 2005»
16 years 1 months ago
Adaptive Processing of Top-K Queries in XML
The ability to compute top-k matches to XML queries is gaining importance due to the increasing number of large XML repositories. The efficiency of top-k query evaluation relies o...
Amélie Marian, Divesh Srivastava, Nick Koud...
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 2 hour ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
DIS
2006
Springer
15 years 3 months ago
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations
The purpose of this paper is two-fold: First, we give efficient algorithms for answering itemset support queries for collections of itemsets from various representations of the fre...
Taneli Mielikäinen, Pance Panov, Saso Dzerosk...