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» Identifying Objects Using Cluster and Concept Analysis
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HPDC
2007
IEEE
15 years 9 months ago
A fast topology inference: a building block for network-aware parallel processing
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
Tatsuya Shirai, Hideo Saito, Kenjiro Taura
JCP
2008
139views more  JCP 2008»
15 years 3 months ago
Research on Risk Evaluation in Supply Chain Based on Grey Relational Method
Supply chain risk evaluation is a multi-criteria decision making problem under fuzzy environments. To tackle the problem, this paper firstly identifies and discusses some of the im...
Peide Liu, Tongjuan Wang
TOCS
1998
114views more  TOCS 1998»
15 years 2 months ago
Performance Evaluation of the Orca Shared-Object System
Orca is a portable, object-based distributed shared memory system. This paper studies and evaluates the design choices made in the Orca system and compares Orca with other DSMs. T...
Henri E. Bal, Raoul Bhoedjang, Rutger F. H. Hofman...
128
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KDD
1997
ACM
146views Data Mining» more  KDD 1997»
15 years 7 months ago
Density-Connected Sets and their Application for Trend Detection in Spatial Databases
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
BMCBI
2006
167views more  BMCBI 2006»
15 years 3 months ago
GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficu...
Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil...