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» Clustering performance data efficiently at massive scales
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JDCTA
2010
119views more  JDCTA 2010»
15 years 24 days ago
Distributed Dual Cluster Algorithm Based on Grid for Sensor Streams
In practical applications, Wireless Sensor Networks generate massive data streams with the dual attributes in geography and optimization domain. Energy source of sensor nodes in W...
Jianghua Huang, Junying Zhang
IPPS
2005
IEEE
15 years 11 months ago
Improvement of Power-Performance Efficiency for High-End Computing
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. R...
Rong Ge, Xizhou Feng, Kirk W. Cameron
CLUSTER
2007
IEEE
16 years 10 days ago
Performance analysis of a user-level memory server
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...
Scott Pakin, Greg Johnson
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 11 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 10 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer