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FGCS
2007
86views more  FGCS 2007»
14 years 9 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
HIPC
2005
Springer
15 years 3 months ago
Mobile Pipelines: Parallelizing Left-Looking Algorithms Using Navigational Programming
Abstract. Parallelizing a sequential algorithm—i.e., manually or automatically converting it into an equivalent parallel distributed algorithm—is an important problem. Ideally,...
Lei Pan, Ming Kin Lai, Michael B. Dillencourt, Lub...
ENTCS
2007
158views more  ENTCS 2007»
14 years 9 months ago
Abstraction and Completeness for Real-Time Maude
ion and Completeness for Real-Time Maude Peter Csaba ¨Olveczky a,b and Jos´e Meseguer b a Department of Informatics, University of Oslo b Department of Computer Science, Universi...
Peter Csaba Ölveczky, José Meseguer
IANDC
2008
114views more  IANDC 2008»
14 years 9 months ago
Generalizing the Paige-Tarjan algorithm by abstract interpretation
act Interpretation Francesco Ranzato and Francesco Tapparo Dipartimento di Matematica Pura ed Applicata, Universit`a di Padova, Italy The Paige and Tarjan algorithm (PT) for comp...
Francesco Ranzato, Francesco Tapparo
ACL
2011
14 years 1 months ago
Collecting Highly Parallel Data for Paraphrase Evaluation
A lack of standard datasets and evaluation metrics has prevented the field of paraphrasing from making the kind of rapid progress enjoyed by the machine translation community ove...
David Chen, William B. Dolan