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» Clustering Improves the Exploration of Graph Mining Results
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ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
14 years 5 months ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 4 months ago
Mining Protein Sequence Motifs Representing Common 3D Structures
Understanding the relationship between protein structure and its sequence is one of the most important tasks of current bioinformatics research. In this work, recurring protein se...
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang...
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 5 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 4 months ago
A Computational Approach to Reconstructing Gene Regulatory Networks
Reverse-engineering of gene networks using linear models often results in an underdetermined system because of excessive unknown parameters. In addition, the practical utility of ...
Xutao Deng, Hesham H. Ali
IEAAIE
2004
Springer
14 years 4 months ago
OIDM: Online Interactive Data Mining
Facilitated by the achievements of various data mining techniques, both academic research and industrial applications are using data mining tools to explore knowledge from various ...
Qijun Chen, Xindong Wu, Xingquan Zhu