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150
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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 25 days ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
150
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ISDA
2008
IEEE
15 years 10 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
130
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PR
2006
122views more  PR 2006»
15 years 3 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt
125
Voted
IMC
2007
ACM
15 years 5 months ago
A data streaming algorithm for estimating entropies of od flows
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
Haiquan (Chuck) Zhao, Ashwin Lall, Mitsunori Ogiha...
121
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WSCG
2004
125views more  WSCG 2004»
15 years 5 months ago
Linking Scientific and Information Visualization with Interactive 3D Scatterplots
3D scatterplots are an extension of the ubiquitous 2D scatterplots that is conceptually simple, but so far proved hard to use in practice. But by combining them with a state-of-th...
Robert Kosara, Gerald N. Sahling, Helwig Hauser