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PVLDB
2008
124views more  PVLDB 2008»
14 years 9 months ago
Google's Deep Web crawl
The Deep Web, i.e., content hidden behind HTML forms, has long been acknowledged as a significant gap in search engine coverage. Since it represents a large portion of the structu...
Jayant Madhavan, David Ko, Lucja Kot, Vignesh Gana...
PVLDB
2008
126views more  PVLDB 2008»
14 years 9 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
PVLDB
2008
182views more  PVLDB 2008»
14 years 9 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
PVLDB
2008
122views more  PVLDB 2008»
14 years 9 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
RE
2008
Springer
14 years 9 months ago
Design Science, Engineering Science and Requirements Engineering
For several decades there has been a debate in the computing sciences about the relative roles of design and empirical research, and about the contribution of design and research ...
Roel Wieringa, J. M. G. Heerkens
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