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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 7 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
ISPASS
2009
IEEE
16 years 1 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
DAGSTUHL
2007
15 years 8 months ago
Parallel universes to improve the diagnosis of cardiac arrhythmias
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
CCGRID
2010
IEEE
15 years 4 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
OOPSLA
1999
Springer
15 years 11 months ago
Object Views: Language Support for Intelligent Object Caching in Parallel and Distributed Computations
Object-based parallel and distributed applications are becoming increasingly popular, driven by the programmability advantages of component technology and a flat shared-object spa...
Ilya Lipkind, Igor Pechtchanski, Vijay Karamcheti