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» Clustering performance data efficiently at massive scales
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ISCAPDCS
2007
15 years 2 months ago
Architectural requirements of parallel computational biology applications with explicit instruction level parallelism
—The tremendous growth in the information culture, efficient digital searches are needed to extract and identify information from huge data. The notion that evolution in silicon ...
Naeem Zafar Azeemi
104
Voted
INFOCOM
2006
IEEE
15 years 6 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...
177
Voted
ECOI
2011
240views ECommerce» more  ECOI 2011»
14 years 7 months ago
HerbariaViz: A web-based client-server interface for mapping and exploring flora observation data
The potential for physical flora collections to support scientific research is being enhanced by rapid development of digital databases that represent characteristics of the physic...
Tom Auer, Alan M. MacEachren, Craig McCabe, Scott ...
91
Voted
BMCBI
2008
103views more  BMCBI 2008»
15 years 20 days ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
133
Voted
HIPC
2009
Springer
14 years 10 months ago
Highly scalable algorithm for distributed real-time text indexing
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...