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SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
14 years 4 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
IPPS
2010
IEEE
13 years 5 months ago
Attack-resistant frequency counting
We present collaborative peer-to-peer algorithms for the problem of approximating frequency counts for popular items distributed across the peers of a large-scale network. Our alg...
Bo Wu, Jared Saia, Valerie King
SPAA
2006
ACM
14 years 1 months ago
Towards a scalable and robust DHT
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Baruch Awerbuch, Christian Scheideler
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 10 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray