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» Cluster Analysis of High-Dimensional Data: A Case Study
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CIC
2003
150views Communications» more  CIC 2003»
13 years 9 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
CLUSTER
2009
IEEE
14 years 2 months ago
MDCSim: A multi-tier data center simulation, platform
Abstract—Performance and power issues are becoming increasingly important in the design of large cluster based multitier data centers for supporting a multitude of services. Desi...
Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyo...
METRICS
2005
IEEE
14 years 1 months ago
Visualizing Historical Data Using Spectrographs
Studying the evolution of long lived processes such as the development history of a software system or the publication history of a research community, requires the analysis of a ...
Ahmed E. Hassan, Jingwei Wu, Richard C. Holt
DGO
2003
140views Education» more  DGO 2003»
13 years 9 months ago
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Admi
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
PRL
2002
67views more  PRL 2002»
13 years 7 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu