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HPDC
2010
IEEE
15 years 23 days ago
A data transfer framework for large-scale science experiments
Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 3 days ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
PC
2002
189views Management» more  PC 2002»
14 years 11 months ago
Data management and transfer in high-performance computational grid environments
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or compu...
William E. Allcock, Joseph Bester, John Bresnahan,...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 3 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
HPDC
2008
IEEE
14 years 12 months ago
File grouping for scientific data management: lessons from experimenting with real traces
Abstract-The analysis of data usage in a large set of real traces from a high-energy physics collaboration revealed the existence of an emergent grouping of files that we coined &q...
Shyamala Doraimani, Adriana Iamnitchi