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POPL
2008
ACM
15 years 11 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
POPL
2007
ACM
15 years 11 months ago
Variance analyses from invariance analyses
An invariance assertion for a program location is a statement that always holds at during execution of the program. Program invariance analyses infer invariance assertions that ca...
Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Di...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
15 years 11 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
15 years 11 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 11 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...