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» Mining Several Data Bases with an Ensemble of Classifiers
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JMLR
2006
124views more  JMLR 2006»
13 years 9 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
SAC
2004
ACM
14 years 2 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
SISAP
2010
IEEE
149views Data Mining» more  SISAP 2010»
13 years 7 months ago
On applications of parameterized hyperplane partitioning
The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. I...
Jakub Lokoc, Tomás Skopal
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 9 months ago
Co-evolution of social and affiliation networks
In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
Elena Zheleva, Hossam Sharara, Lise Getoor
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 9 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy