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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 1 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
JIIS
2006
83views more  JIIS 2006»
15 years 3 months ago
Querying a summary of database
For some years, data summarization techniques have been developed to handle the growth of databases. However these techniques are usually not provided with tools for enduserstoeffi...
W. Amenel Voglozin, Guillaume Raschia, Laurent Ugh...
140
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CIDM
2009
IEEE
15 years 7 months ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
15 years 1 months ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...
ICCV
2005
IEEE
16 years 5 months ago
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
Xiangyang Lan, Daniel P. Huttenlocher