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» Finding Groups in Data: Cluster Analysis with Ants
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KDD
2009
ACM
169views Data Mining» more  KDD 2009»
14 years 7 months ago
COA: finding novel patents through text analysis
In recent years, the number of patents filed by the business enterprises in the technology industry are growing rapidly, thus providing unprecedented opportunities for knowledge d...
Mohammad Al Hasan, W. Scott Spangler, Thomas D. Gr...
IGPL
2011
13 years 1 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
NPC
2010
Springer
13 years 5 months ago
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping
Abstract. Cluster-based storage systems connected with TCP/IP networks are expected to achieve a high throughput by striping files across multiple storage servers. However, for th...
Xuechen Zhang, Guiquan Liu, Song Jiang
BMCBI
2010
92views more  BMCBI 2010»
13 years 6 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
CF
2006
ACM
13 years 8 months ago
Intermediately executed code is the key to find refactorings that improve temporal data locality
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
Kristof Beyls, Erik H. D'Hollander