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SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 6 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
WECWIS
2002
IEEE
131views ECommerce» more  WECWIS 2002»
15 years 9 months ago
Mining Client-Side Activity for Personalization
“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is th...
Kurt D. Fenstermacher, Mark Ginsburg
CVPR
2008
IEEE
16 years 6 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
15 years 2 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
CCGRID
2005
IEEE
15 years 10 months ago
Object-oriented SPMD
— This article presents an evolution of classical SPMD programming for clusters and grids. It is named ”Object-Oriented SPMD” as it is based on remote method invocation. More...
Laurent Baduel, Françoise Baude, Denis Caro...