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» Reliability Design for Large Scale Data Warehouses
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BMCBI
2010
193views more  BMCBI 2010»
14 years 6 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 10 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
EDBT
2010
ACM
145views Database» more  EDBT 2010»
15 years 2 months ago
Splash: ad-hoc querying of data and statistical models
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
Lujun Fang, Kristen LeFevre
118
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MICRO
2008
IEEE
208views Hardware» more  MICRO 2008»
15 years 6 months ago
Microarchitecture soft error vulnerability characterization and mitigation under 3D integration technology
— As semiconductor processing techniques continue to scale down, transient faults, also known as soft errors, are increasingly becoming a reliability threat to high-performance m...
Wangyuan Zhang, Tao Li
PPOPP
2010
ACM
15 years 9 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...