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114
Voted
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 1 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
123
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 1 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
206
Voted
POPL
2004
ACM
16 years 1 months ago
Symbolic transfer function-based approaches to certified compilation
We present a framework for the certification of compilation and of compiled programs. Our approach uses a symbolic transfer functions-based representation of programs, so as to ch...
Xavier Rival
PODS
2005
ACM
136views Database» more  PODS 2005»
16 years 29 days ago
Context-sensitive program analysis as database queries
Program analysis has been increasingly used in software engineering tasks such as auditing programs for security vulnerabilities and finding errors in general. Such tools often re...
Monica S. Lam, John Whaley, V. Benjamin Livshits, ...
107
Voted
PPOPP
2010
ACM
15 years 10 months ago
The LOFAR correlator: implementation and performance analysis
LOFAR is the first of a new generation of radio telescopes. Rather than using expensive dishes, it forms a distributed sensor network that combines the signals from many thousands...
John W. Romein, P. Chris Broekema, Jan David Mol, ...
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