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» Advanced High Performance Algorithms for Data Processing
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BMCBI
2004
158views more  BMCBI 2004»
15 years 3 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
CSI
2011
389views Social Sciences» more  CSI 2011»
14 years 11 months ago
Acceleration of acoustic emission signal processing algorithms using CUDA standard
Offline processing of acoustic emission (AE) signal waveforms recorded during a long-term AE monitoring session is a challenging problem in AE testing area. This is due to the fac...
Lubomir Riha, Radislav Smid
151
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HIPC
2000
Springer
15 years 7 months ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
WDAS
2000
15 years 5 months ago
Scalable Distributed Data Structures for High-Performance Databases
Present databases, whether on centralized or parallel DBMSs, do not deal well with scalability. We present an architecture for Wintel multicomputers termed AMOS-SDDS, coupling a h...
Yakham Ndiaye, Aly Wane Diene, Witold Litwin, Tore...
CMG
2001
15 years 5 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman