Sciweavers

47 search results - page 8 / 10
» Accelerating the discovery of unsupervised-shapelets
Sort
View
IPPS
2009
IEEE
14 years 4 months ago
Multi-dimensional characterization of temporal data mining on graphics processors
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
ESCIENCE
2007
IEEE
14 years 4 months ago
eResearch Solutions for High Throughput Structural Biology
Structural biology research places significant demands upon computing and informatics infrastructure. Protein production, crystallization and X-ray data collection require solutio...
Noel G. Faux, Anthony Beitz, Mark A. Bate, Abdulla...
IPPS
2007
IEEE
14 years 4 months ago
Scalable, Dynamic Analysis and Visualization for Genomic Datasets
A challenge in data analysis and visualization is to build new-generation software tools and systems to truly accelerate scientific discoveries. The recent focus of Princeton’s ...
Grant Wallace, Matthew A. Hibbs, Maitreya J. Dunha...
ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
14 years 3 months ago
Tractable Group Detection on Large Link Data Sets
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
SAC
1995
ACM
14 years 1 months ago
Load balancing in a distributed processing system for high-energy physics(UFMulti)
Experiments in High Energy Physics (HEP) generate tremendous amounts of data. For example, the accelerator at CERN is expected to generate petabytes per year. New HEP discoveries ...
Jagadeesh Kasaraneni, Theodore Johnson, Paul Avery