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» Using Clustering and Blade Clusters in the Terabyte Task
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SIGIR
2006
ACM
15 years 5 months ago
Text clustering with extended user feedback
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
Yifen Huang, Tom M. Mitchell
SPAA
2012
ACM
13 years 2 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 4 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
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
15 years 3 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 2 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...